CITACE (bez autocitací) k 04. 01. 2010 NOVOVIČOVÁ Jana 1196 (1183 zahraničních, 13 ČR) A -- http://portal.isiknowledge.com/portal.cgi? Init=Yes&SID=U2hCHEIgi95kb9iHA6P (ISI Web of Knowledge) http://www.scopus.com/scopus/home.url (SCOPUS) B – ostatní podle GOOGLE SCHOLAR CITATION: FLOATING SEARCH METHODS IN FEATURE-SELECTION PUDIL P, NOVOVICOVA J, KITTLER J PATTERN RECOGNITION LETTERS 15: (11) 1119-1125 NOV 1994 Times Cited: 736 (572A + 164B) 1. Niemeijer M, Abramoff MD, van Ginneken B Fast detection of the optic disc and fovea in color fundus photographs MEDICAL IMAGE ANALYSIS Volume: 13 Issue: 6 Pages: 859-870 Published: DEC 2009 2. Filipenkov NV A method for finding smoothly varying rules in Multidimensional time series COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS Volume: 49 Issue: 11 Pages: 1930-1948 Published: NOV 2009 3. Hsieh PF Impact and realization of increased class separability on the small sample size problem in hyperspectral classification CANADIAN JOURNAL OF REMOTE SENSING Volume: 35 Issue: 3 Pages: 248-261 Published: JUN 2009 4. Ruta, A. , Li, Y. , Liu, X. Real-time traffic sign recognition from video by class-specific discriminative features PATTERN RECOGNITION 43 (1), pp. 416-430, 2010 5. Zigel Y, Litvak D, Gannot I A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound-Proof of Concept on Human Mimicking Doll Falls IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING Volume: 56 Issue: 12 Pages: 2858-2867 Published: DEC 2009 6. Hu QH, Pedrycz W, Yu DR, et al. Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization 1
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CITACE (bez autocitací) k 04. 01. 2010NOVOVIČOVÁ Jana
1196 (1183 zahraničních, 13 ČR)
A -- http://portal.isiknowledge.com/portal.cgi?Init=Yes&SID=U2hCHEIgi95kb9iHA6P(ISI Web of Knowledge)http://www.scopus.com/scopus/home.url(SCOPUS)
B – ostatní podle GOOGLE SCHOLAR
CITATION:FLOATING SEARCH METHODS IN FEATURE-SELECTION
Times Cited: 736 (572A + 164B)1. Niemeijer M, Abramoff MD, van Ginneken B
Fast detection of the optic disc and fovea in color fundus photographs MEDICAL IMAGE ANALYSIS Volume: 13 Issue: 6 Pages: 859-870 Published: DEC 2009
2. Filipenkov NVA method for finding smoothly varying rules in Multidimensional time series COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS Volume: 49 Issue: 11 Pages: 1930-1948 Published: NOV 2009
3. Hsieh PFImpact and realization of increased class separability on the small sample size problem in hyperspectral classification CANADIAN JOURNAL OF REMOTE SENSING Volume: 35 Issue: 3 Pages: 248-261 Published: JUN 2009
4. Ruta, A. , Li, Y., Liu, X.Real-time traffic sign recognition from video by class-specific discriminative features PATTERN RECOGNITION 43 (1), pp. 416-430, 2010
5. Zigel Y, Litvak D, Gannot IA Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound-Proof of Concept on Human Mimicking Doll Falls IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING Volume: 56 Issue: 12 Pages: 2858-2867 Published: DEC 2009
6. Hu QH, Pedrycz W, Yu DR, et al.Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS Volume: 40 Issue: 1 Pages: 137-150 Published: FEB 2010
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16. Murphy K, van Ginneken B, Schilham AMR, et al.A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification Source: MEDICAL IMAGE ANALYSIS Volume: 13 Issue: 5 Pages: 757-770 Published: OCT 2009
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21. Csefalvay L, Di Gaspero G, Matous K, et al.Pre-symptomatic detection of Plasmopara viticola infection in grapevine leaves using chlorophyll fluorescence imaging Source: EUROPEAN JOURNAL OF PLANT PATHOLOGY Volume: 125 Issue: 2 Pages: 291-302 Published: OCT 2009
Relevance and Redundancy Analysis for Ensemble Classifiers Conference Information: 6th International Conference on Machine Learning and Data Mining in Pattern Recognition, JUL 23-25, 2009 Leipzig, GERMANYSource: MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION Book Series: Lecture Notes in Artificial Intelligence Volume: 5632 Pages: 206-220 Published: 2009
23. Olvera-Lopez JA, Martinez-Trinidad JF, Carrasco-Ochoa JA, et al.Prototype selection based on sequential search Source: INTELLIGENT DATA ANALYSIS Volume: 13 Issue: 4 Pages: 599-631 Published: 2009
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25. Delibasis KK, Asvestas PA, Matsopoulos GK, et al.Computer-Aided Diagnosis of Thyroid Malignancy Using an Artificial Immune System Classification Algorithm Source: IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE Volume: 13 Issue: 5 Pages: 680-686 Published: SEP 2009
26. Dalponte, M. , Bruzzone, L., Vescovo, L., Gianelle, D.The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas REMOTE SENSING OF ENVIRONMENT 113 (11), pp. 2345-2355, 2009
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28. Gravina R, Guerrieri A, Fortino G, et al.Development of Body Sensor Network Applications using SPINE Conference Information: IEEE International Conference on System, Man, and Cybernetic, OCT 12-15, 2008 Singapore, SINGAPORESource: 2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6 Book Series: IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, CONFERENCE PROCEEDINGS Pages: 2809-2814 Published: 2008
29. Liwicki M, Bunke HFEATURE SELECTION FOR HMM AND BLSTM BASED HANDWRITING RECOGNITION OF WHITEBOARD NOTES Conference Information: 13th Conference of the International-Graphonomics-Society, NOV 11-14, 2007 Melbourne, AUSTRALIASource: INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE Volume: 23 Issue: 5 Pages: 907-923 Published: AUG 2009
30. Dougherty ER, Hua JP, Sima CPerformance of Feature Selection Methods Source: CURRENT GENOMICS Volume: 10 Issue: 6 Pages: 365-374 Published: SEP 2009
31. Nakariyakul SA Review of Suboptimal Branch and Bound Algorithms Conference Information: International Conference on Computer Engineering and Applications, JUN 06-08, 2009 Manila, PHILIPPINESSource: PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND APPLICATIONS Pages: 566-570 Published: 2009
32. Barrio I, Romero E, Belanche LAn experimental study on methods for the selection of basis functions in regression Source: NEUROCOMPUTING Volume: 72 Issue: 13-15 Special Issue: Sp. Iss. SI Pages: 2952-2963 Published: AUG 2009
Feature selection for face recognition: a memetic algorithmic approach Source: JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A Volume: 10 Issue: 8 Pages: 1140-1152 Published: AUG 2009
34. Mahmood, Z. , Khan, S.On the use of K-fold cross-validation to choose cutoff values and assess the performance of predictive models in stepwise regression
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36. Gütlein, M. , Frank, E., Hall, M., Karwath, A.Large-scale attribute selection using wrappers 2009 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009 - Proceedings, art. no. 4938668, pp. 332-339, 2009
37. Sinha R, Nikolajewa S, Szafranski K, et al.Accurate prediction of NAGNAG alternative splicing Source: NUCLEIC ACIDS RESEARCH Volume: 37 Issue: 11 Pages: 3569-3579 Published: JUN 2009
38. Nakariyakul, S. , Casasent, D.P.Fast feature selection algorithm for poultry skin tumor detection in hyperspectral data JOURNAL OF FOOD ENGINEERING 94 (3-4), pp. 358-365, 2009
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40. Cheng DF, Liu GY, Qiu YHApplications of Particle Swarm Optimization and K-Nearest Neighbors to Emotion Recognition from Physiological Signals Conference Information: International Conference on Computational-Intelligence and Security, DEC 13-17, 2008 Suzhou, PEOPLES R CHINASource: 2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, VOLS 1 AND 2, PROCEEDINGS Pages: 615-619, 2008
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47. Serag, A. , Wenzel, F., Thiele, F., Buchert, R., Young, S.
Optimal feature selection for automated classification of FDG-PET in patients with suspected dementiProgress in Biomedical Optics and Imaging - Proceedings of SPIE 7260, art. no. 726012, 2009
48. Lee, Y. , Kim, N., Seo, J.B., Park, S.O., Lee, Y.K., Kan, S.H.Improvement of computational efficiency using a cascade classification scheme for the classification of diffuse infiltrative lung disease on HRCT Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7260, art. no. 72603A, 2009
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53. Pudimat R, Backofen R, Schukat-Talamazzini EGFAST FEATURE SUBSET SELECTION IN BIOLOGICAL SEQUENCE ANALYSIS INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE Volume: 23 Issue: 2 Pages: 191-207 Published: MAR 2009
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56. Liao, T.W. Improving the accuracy of computer-aided radiographic weld inspection by feature selection NDT & E INTERNATIONAL Volume: 42 Issue: 4 Pages: 229-239 Published: JUN 2009
57. Wang, Y. , Li, L., Ni, J., Huang, S.Feature selection using tabu search with long-term memories and probabilistic neural networkPATTERN RECOGNITION LETTERS Volume: 30 Issue: 7 Pages: 661-670 Published: MAY 1 2009
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59. Cernazanu CTraining Neural Networks Using Input Data Characteristics ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING Volume: 8 Issue: 2 Pages: 65-70 Published: 2008
Feature Selection via Decision Tree Surrogate Splits Conference Information: 19th International Conference on Pattern Recognition (ICPR 2008), DEC 08-11, 2008 Tampa, FLSource: 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 Book Series: INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION Pages: 3682-3686 Published: 2008
61. Krizek P, Kittler J, Hlavac VFeature Condensing Algorithm for Feature Selection Conference Information: 19th International Conference on Pattern Recognition (ICPR 2008), DEC 08-11, 2008 Tampa, FLSource: 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 Book Series: INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION Pages: 3787-3790 Published: 2008
62. Yu P, Clausi DA, De Abreu R, et al.Combining AMSR-E and QuikSCAT image data to improve sea ice classification Conference Information: 5th IAPR Workshop on Pattern Recognition in Remote Sensing, DEC 07, 2008 Tampa, FLSource: 2008 IAPR WORKSHOP ON PATTERN RECOGNITION IN REMOTE SENSING Pages: 25-28 Published: 2008
63. Yusta, S.C. Different metaheuristic strategies to solve the feature selection problem PATTERN RECOGNITION LETTERS 30 (5), pp. 525-534, 2009
64. Sertel, O. , Kong, J., Shimada, H., Catalyurek, U.V., Saltz, J.H., Gurcan, M.N.Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development PATTERN RECOGNITION Volume: 42 Issue: 6 Pages: 1093-1103 Published: JUN 2009
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66. Plasberg JH, Kleijn WBFeature Selection Under a Complexity Constraint IEEE TRANSACTIONS ON MULTIMEDIA Volume: 11 Issue: 3 Pages: 565-571 Published: APR 2009
67. Chang F, Chou CHA Bi-Prototype Theory of Facial Attractiveness NEURAL COMPUTATION Volume: 21 Issue: 3 Pages: 890-910 Published: MAR 2009
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72. Nanni L, Lumini AA Further Step Toward an Optimal Ensemble of Classifiers for Peptide Classification, a Case Study: HIV Protease
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86. Fornes A, Llados J, Sanchez G, et al.Writer Identification in Old Handwritten Music Scores Conference Information: 8th International Workshop on Document Analysis Systems, SEP 16-19, 2008 Nara, JAPANSource: PROCEEDINGS OF THE 8TH IAPR INTERNATIONAL WORKSHOP ON DOCUMENT ANALYSIS SYSTEMS Pages: 347-353 Published: 2008
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88. Ruta A, Li YM, Liu XHDetection, Tracking and Recognition of Traffic Signs from Video Input Conference Information: 11th IEEE International Conference on Intelligent Transportation Systems (ITSC 2008), OCT 12-15, 2008 Beijing, PEOPLES R CHINAPROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS Pages: 55-60 Published: 2008
90. Wang JW, Chen WYGenetic Optimization of Fingerprint Recognition Based on Core Sub-Region JOURNAL OF INFORMATION SCIENCE AND ENGINEERING Volume: 25 Issue: 1 Pages: 303-317 Published: JAN 2009
91. Nanni L, Lumini AEnsemble generation and feature selection for the identification of students with learning disabilities EXPERT SYSTEMS WITH APPLICATIONS Volume: 36 Issue: 2 Pages: 3896-3900 Part: Part 2 Published: MAR 2009
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93. Vasconcelos M, Vasconcelos NNatural Image Statistics and Low-Complexity Feature Selection IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Volume: 31 Issue: 2 Pages: 228-244 Published: FEB 2009
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100.Kocal OH, Yuruklu E, Avcibas IChaotic-Type Features for Speech Steganalysis IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY Volume: 3 Issue: 4 Pages: 651-661 Published: DEC 2008
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102.B Deronde, R Houthuys, JP Henriet, VV LanckerMonitoring of the sediment dynamics along a sandy shoreline by means of airborne hyperspectral
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103.Huilin, Z. , Yuhao, W.Time frequency representations for classification of landmine using UWB impulse GPR PROCEEDINGS OF INTERNATIONAL CONFERENCE ON Wireless Communications, Networking and Mobile Computing, WiCOM 2008, art. no. 4678158, 2008
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106.Hong TP, Liou YLCase-Based Reasoning with Feature Clustering PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS Pages: 449-454 Published: 2008
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113.Narayanan MR, Scalzi ME, Redmond SJ, et al.A Wearable Triaxial Accelerometry System for Longitudinal Assessment of Falls Risk Conference Information: 30th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, AUG 20-24, 2008 Vancouver, CANADA2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 Book Series: IEEE Engineering in Medicine and Biology Society Conference Proceedings Pages: 2840-2843 Published: 2008
114.Dyson M, Sepulveda F, Gan JQMental Task Classification against the Idle State: A Preliminary Investigation Conference Information: 30th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, AUG 20-24, 2008 Vancouver, CANADA2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 Book Series: IEEE Engineering in Medicine and Biology Society Conference Proceedings Pages: 4473-4477 Published: 2008
115.Litvak D, Zigel Y, Gannot IFall Detection of Elderly through Floor Vibrations and Sound Conference Information: 30th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, AUG 20-24, 2008 Vancouver, CANADASource: 2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 Book Series: IEEE Engineering in Medicine and Biology Society Conference Proceedings Pages: 4632-4635 Published: 2008
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117.Ahonen, T. , Pietikainen, M. A framework for analyzing texture descriptors VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings 1, pp. 507-512, 2008
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124.Tsai CC, Taur J, Tao CWIris recognition based on relative variation analysis with feature selection OPTICAL ENGINEERING Volume: 47 Issue: 9 Article Number: 097202 Published: SEP 2008
125.Schleif, F.-M. , Villmann, T., Hammer, B., van der Werff, M., Deelder, A., Tollenaar, R.Analysis of spectral data in clinical proteomics by use of learning vector quantizers STUDIES IN COMPUTATIONAL INTELLIGENCE 151, pp. 141-167, 2008
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127.Huang D, Gan ZH, Chow TWSEnhanced feature selection models using gradient-based and point injection techniques NEUROCOMPUTING Volume: 71 Issue: 16-18 Special Issue: Sp. Iss. SI Pages: 3114-3123 Published: OCT 2008
128.Nakariyakul S, Casasent DPHyperspectral waveband selection for contaminant detection on poultry carcasses OPTICAL ENGINEERING Volume: 47 Issue: 8 Article Number: 087202 Published: AUG 2008
129.Schmitt E, Bombardier V, Wendling LImproving fuzzy rule classifier by extracting suitable features from capacities with respect to the Choquet integral IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS Volume: 38 Issue: 5 Pages: 1195-1206 Published: OCT 2008
130.Kanan, H.R. , Faez, K.An improved feature selection method based on ant colony optimization (ACO) evaluated on face recognition system APPLIED MATHEMATICS AND COMPUTATION Volume: 205 Issue: 2 Special Issue: Sp. Iss. SI Pages: 716-725 Published: NOV 15 2008
131.Gunal S, Edizkan RSubspace based feature selection for pattern recognition INFORMATION SCIENCES Volume: 178 Issue: 19 Pages: 3716-3726 Published: OCT 1 2008
132.Marinakis, Y. , Marinaki, M., Doumpos, M., Matsatsinis, N., Zopounidis, C. Optimization of nearest neighbor classifiers via metaheuristic algorithms for credit risk assessment JOURNAL OF GLOBAL OPTIMIZATION Volume: 42 Issue: 2 Pages: 279-293 Published: OCT 2008
133.Zhong P, Zhang P, Wang RSDynamic learning of SMLR for feature selection and classification of hyperspectral data IEEE GEOSCIENCE AND REMOTE SENSING LETTERS Volume: 5 Issue: 2 Pages: 280-284 Published: APR 2008
134.Lapedriza A, Segui S, Masip D, et al.A sparse Bayesian approach for joint feature selection and classifier learning PATTERN ANALYSIS AND APPLICATIONS Volume: 11 Issue: 3-4 Pages: 299-308 Published: SEP 2008
135.Deronde B, Kempeneers P, Houhuys R, et al.Sediment facies classification of a sandy shoreline by means of airborne imaging spectroscopy INTERNATIONAL JOURNAL OF REMOTE SENSING Volume: 29 Issue: 15 Pages: 4463-4477 Published: 2008
136.Nanni, L. , Lumini, A.Generalized Needleman-Wunsch algorithm for the recognition of T-cell epitopesEXPERT SYSTEMS WITH APPLICATIONS Volume: 35 Issue: 3 Pages: 1463-1467 Published: MARCH 2008
137.Nanni L, Lumini AA multi-modal method based on the competitors of FVC2004 and on palm data combined with tokenised random numbers PATTERN RECOGNITION LETTERS Volume: 29 Issue: 9 Pages: 1344-1350 Published: JUL 1 2008
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139.Lumini, A. , Nanni, L. Over-complete feature generation and feature selection for biometryEXPERT SYSTEMS WITH APPLICATIONS Volume: 35 Issue: 4 Pages: 2049-2059 Published: APRIL 2008
140.Ververidis, D. , Kotropoulos, C. Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to …SIGNAL PROCESSING, 88 (12), pp. 2956-2970 2008
141.Sima, C. , Dougherty, E.R.The peaking phenomenon in the presence of feature-selectionPATTERN RECOGNITION LETTERS Volume: 29 Issue: 11 Pages: 1667-1674 Published: AUG 1 2008
142.Judson R, Elloumi F, Setzer RW, et al.A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model BMC BIOINFORMATICS Volume: 9 Article Number: 241 Published: MAY 19 2008
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144.Deronde, B. , Kempeneers, P., Houhuys, R., Henriet, J.-P., Van Lancker, V.Sediment facies classification of a sandy shoreline by means of airborne imaging spectroscopy INTERNATIONAL JOURNAL OF REMOTE SENSING Volume: 29 Issue: 15 Pages: 4463-4477 Published: 2008
145.Marinakis, Y. , Marinaki, M., Dounias, G.Particle swarm optimization for pap-smear diagnosisEXPERT SYSTEMS WITH APPLICATIONS Volume: 35 Issue: 4 Pages: 1645-1656Published: APRIL 2008
146.Pineda M, Soukupova J, Matous K, et al.Conventional and combinatorial chlorophyll fluorescence imaging of tobamovirus-infected plants PHOTOSYNTHETICA Volume: 46 Issue: 3 Pages: 441-451 Published: SEP 2008
147.Wieczorek, T. , Blachnik, M., Ma cZka, K. Building a model for time reduction of steel scrap meltdown in the electric arc furnace (EAF): General strategy with a comparison of feature selection methods LECTURE NOTES IN COMPUTER SCIENCE 5097 LNAI: 1149-1159 2008
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150.M Dalponte, L Bruzzone, D GianelleFusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest AreasIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 46, NO. 5, MAY 2008
151.Basiri, M.E. , Ghasem-Aghaee, N., Aghdam, M.H.Using ant colony optimization-based selected features for predicting post-synaptic activity in proteins LECTURE NOTES IN COMPUTER SCIENCE 4973 LNCS: 12-23 2008
152.D Gonzalez-Jimenez - Improvements in Pose Invariance and Local Description for Gabor-based 2D Face Recognition
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154.Huang YJ, Lee FFClassification of phalaenopsis plantlet parts and identification of suitable grasping point for automatic transplanting using machine vision APPLIED ENGINEERING IN AGRICULTURE Volume: 24 Issue: 1 Pages: 89-99 Published: JAN 2008
155.Marinaki, M. , Marinakis, Y., Doumpos, M., Matsatsinis, N., Zopounidis, C.A comparison of several nearest neighbor classifier metrics using Tabu Search algorithm for the feature selection problem OPTIMIZATION LETTERS 2 (3), pp. 299-308, 2008
156.Honkela A, Seppae J, Alhoniemi EAgglomerative independent variable group analysis NEUROCOMPUTING Volume: 71 Issue: 7-9 Pages: 1311-1320 Published: MAR 2008
157.Huang JJ, Cai YZ, Xu XM A parameterless feature ranking algorithm based on MI NEUROCOMPUTING Volume: 71 Issue: 7-9 Pages: 1656-1668 Published: MAR 2008
158.Dalponte M, Bruzzone L, Gianelle D Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Volume: 46 Issue: 5 Pages: 1416-1427 Published: MAY 2008
159.Matsopoulos, G.K. , Asvestas, P.A., Delibasis, K.K., Mouravliansky, N.A., Zeyen, T.G.Detection of glaucomatous change based on vessel shape analysis COMPUTERIZED MEDICAL IMAGING AND GRAPHICS Volume: 32 Issue: 3 Pages: 183-192 Published: APR 2008
160.Hong Y, Kwong S, Chang YC, et al.Consensus unsupervised feature ranking from multiple views PATTERN RECOGNITION LETTERS Volume: 29 Issue: 5 Pages: 595-602 Published: APR 1 2008
161.Gan ZH, Chow TWS, Huang DEffective gene selection method using Bayesian discriminant based criterion and genetic algorithms JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY Volume: 50 Issue: 3 Pages: 293-304 Published: MAR 2008
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163.Zhang LP, Zhao YD, Huang B, et al.Texture feature fusion with neighborhood oscillating tabu search for high resolution image classification PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING Volume: 74 Issue: 3 Pages: 323-331 Published: MAR 2008
164.Demir B, Erturk S Phase correlation based redundancy removal in feature weighting band selection for hyperspectral images INTERNATIONAL JOURNAL OF REMOTE SENSING Volume: 29 Issue: 6 Pages: 1801-1807 Published: 2008
165.Romero E, Sopena JMPerforming feature selection with multilayer perceptronsIEEE TRANSACTIONS ON NEURAL NETWORKS Volume: 19 Issue: 3 Pages: 431-441 Published: MAR 2008
166.Deronde B, Houthuys R, Henriet JP, et al.Monitoring of the sediment dynamics along a sandy shoreline by means of airborne hyperspectral remote sensing and LIDAR: a case study in Belgium EARTH SURFACE PROCESSES AND LANDFORMS Volume: 33 Issue: 2 Pages: 280-294 Published: FEB 2008
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168.Nanni L, Lumini A Wavelet decomposition tree selection for palm and face authentication PATTERN RECOGNITION LETTERS Volume: 29 Issue: 3 Pages: 343-353 Published: FEB 1 2008
169.Lin JY, Ke HR, Chien BC, et al.Classifier design with feature selection and feature extraction using layered genetic programming EXPERT SYSTEMS WITH APPLICATIONS Volume: 34 Issue: 2 Pages: 1384-1393 Published: FEB 2008
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175.Lumini A, Nanni LAdvanced methods for two-class pattern recognition problem formulation for minutiae-based fingerprint verification PATTERN RECOGNITION LETTERS Volume: 29 Issue: 2 Pages: 142-148 Published: 2008
176.Clarke R, Ressom HW, Wang AT, et al.The properties of high-dimensional data spaces: implications for exploring gene and protein expression data NATURE REVIEWS CANCER Volume: 8 Issue: 1 Pages: 37-49 Published: 2008
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178.Oduntan, I.O. , Toulouse, M., Baumgartner, R., Bowman, C., Somorjai, R., Crainic, T.G.A multilevel tabu search algorithm for the feature selection problem in biomedical data COMPUTERS AND MATHEMATICS WITH APPLICATIONS 55 (5), pp. 1019-1033, 2008
179.Matsopoulos, G.K. , Asvestas, P.A., Delibasis, K.K., Mouravliansky, N.A., Zeyen, T.G.Detection of glaucomatous change based on vessel shape analysis COMPUTERIZED MEDICAL IMAGING AND GRAPHICS 32 (3), pp. 183-192, 2008
180.Harrison, R.F. , Kennedy, R.L.Automatic covariate selection in logistic models for chest pain diagnosis: A new approachCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 89 (3), pp. 301-312, 2008
181.Lee, G. , Bulitko, V., Levner, I.HSMM: Heuristic Search with Meta-Models for image interpretation JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING 14 (1-2), pp. 129-143, 2008
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184.Lin, J.-Y. , Ke, H.-R., Chien, B.-C., Yang, W.-P.Classifier design with feature selection and feature extraction using layered genetic programming EXPERT SYSTEMS WITH APPLICATIONS 34 (2), pp. 1384-1393, 2008
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186.YJ Huang, FF LeeClassification of Phalaenopsis Plantlet Parts and Identification of Suitable Grasping Point for …APPLIED ENGINEERING IN AGRICULTURE 24(1): 89‐99 E 2008
187.Li YH, Dong M, Hua JLocalized feature selection for clustering PATTERN RECOGNITION LETTERS 29 (1): 10-18 JAN 1 2008
188.Maillot NE, Thonnat MOntology based complex object recognition IMAGE AND VISION COMPUTING 26 (1): 102-113 Sp. Iss. SI JAN 1 2008
189.Honkela, A. , Seppa , J. , Alhoniemi, E.Agglomerative independent variable group analysisNEUROCOMPUTING 71 (7-9), pp. 1311-1320, 2008
190.Huang, J.-J. , Cai, Y.-Z., Xu, X.-M.A parameterless feature ranking algorithm based on MI NEUROCOMPUTING 71 (7-9), pp. 1656-1668, 2008
191.Pujol O, Escalera S, Radeva PAn incremental node embedding technique for error correcting output codes PATTERN RECOGNITION 41 (2): 713-725 FEB 2008
192.Sasikala, M. , Kumaravel, N.A wavelet-based optimal texture feature set for classification of brain tumoursJOURNAL OF MEDICAL ENGINEERING AND TECHNOLOGY 32 (3), pp. 198-205, 2008
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207.Gul, G. , Kurugollu, F.Detection of watermarking methods using steganalysisICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, art. no. 4517962, pp. 1725-1728, 2008
208.Hupse, R. , Karssemeijer, N.Feature selection for computer-aided detection: Comparing different selection criteria Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6915, art. no. 691503, 2008
209.Sertel, O. , Kong, J., Shimada, H., Catalyurek, U., Saltz, J.H., Gurcan, M.Computer-aided prognosis of neuroblastoma: Classification of stromal development on whole-slide images Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6915, art. no. 69150P, 2008
210.Van Ginneken, B. , Tan, A., Murphy, K., De Hoop, B.-J., Prokop, M.Automated detection of nodules attached to the pleural and mediastinal surface in low-dose CT scans Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6915, art. no. 69150X, 2008
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212.Lo, P. , De Bruijne, M.Voxel classification based airway tree segmentation Progress in Biomedical Optics and Imaging - Proceedings of SPIE 6914, art. no. 69141K, 2008
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229.Nanni L, Lumini AA multi-matcher for ear authentication PATTERN RECOGNITION LETTERS 28 (16): 2219-2226 DEC 1 2007
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232.Nanni L, Lumini ARegionBoost learning for 2D+3D based face recognition PATTERN RECOGNITION LETTERS 28 (15): 2063-2070 NOV 1 2007
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445.Ross, A. , Govindarajan, R.Feature level fusion using hand and face biometrics Proceedings of SPIE - The International Society for Optical Engineering 5779, art. no. 23, pp. 196-204, 2005
446.Yan, W. , Goebel, K.F.Feature selection for partial discharge diagnosisProceedings of SPIE - The International Society for Optical Engineering 5768, pp. 166-175, 2005
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452.E Byvatov Virtual Screening of Potential Bioactive Substances using the Support Vector Machine approach PhD disertation 2005 - publikationen.ub.uni-frankfurt.de
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457.Pernkopf FDetection of surface defects on raw steel blocks using Bayesian network classifiers PATTERN ANALYSIS AND APPLICATIONS 7 (3): 333-342 DEC 2004
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465.Gunter S, Bunke HFeature selection algorithms for the generation of multiple classifier systems and their application to handwritten word recognition PATTERN RECOGNITION LETTERS 25 (11): 1323-1336 AUG 2004
466.Kocsor A, Toth LKernel-based feature extraction with a speech technology application IEEE TRANSACTIONS ON SIGNAL PROCESSING 52 (8): 2250-2263 AUG 2004
467.Keshava NDistance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 42 (7): 1552-1565 JUL 2004
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475.Mutanga O, Skidmore AK Integrating imaging spectroscopy and neural networks to map grass quality in the Kruger National Park, South Africa REMOTE SENS ENVIRON 90 (1): 104-115 MAR 15 2004
476.Niu ZY, Ji DH Feature selection for Chinese character sense discriminationLECT NOTES COMPUT SC 2945: 201-208 2004
477.Schulerud H, Albregtsen F Many are called, but few are chosen. Feature selection and error estimation in high dimensional spacesCOMPUT METH PROG BIO 73 (2): 91-99 FEB 2004
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481.Duchesnay, E. , Roche, A., Riviere, D., Papadopoulos, D., Cointepas, Y., Mangin, J.-F.Population classification based on structural morphometry of cortical sulci 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano 2, pp. 1267-1270, 2004
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490.Sun, Y. , Li, J.Boosting a wavelet packet transform based landmine detectorProceedings of SPIE - The International Society for Optical Engineering 5415 (PART 2), pp. 1300-1309, 2004
491.Zhang, P. , Suen, C.Y., Bui, T.D.Multi-modal nonlinear feature reduction for the recognition of handwritten numerals Proceedings - 1st Canadian Conference on Computer and Robot Vision, pp. 393-400, 2004
492.Bruzzone, L. , Melgani, F.Classification of Hyperspectral Images with Support Vector Machines: Multiclass StrategiesProceedings of SPIE - The International Society for Optical Engineering 5238, pp. 408-419, 2004
493.Li, Y.-X. , Zhu, Y.-H., Ruan, X.-G.Gene selection for leukemia subtype classification from gene expression profileProceedings of 2004 International Conference on Machine Learning and Cybernetics 3, pp. 1661-1664, 2004
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497.Pernkopf, F. Bayesian network classifiers versus k-NN classifier using sequential feature selectionProceedings of the National Conference on Artificial Intelligence, pp. 360-365, 2004
498.Ferguson, B. , Liu, H., Hay, S., Findlay, D., Zhang, X.-C., Abbott, D.In vitro osteosarcoma biosensing using THz time domain spectroscopy Proceedings of SPIE - The International Society for Optical Engineering 5275, pp. 304-316, 2004
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501.Gunter S, Bunke HFast feature selection in an HMM-based multiple classifier system for handwriting recognitionLECT NOTES COMPUT SC 2781: 289-296 2003
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520.Inza I, Sierra B, Blanco R Geneselection by sequential search wrapper approaches in microarray cancor vlase prediction J INTELL FUZZY SYST 12: (1) 25-33 2002
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527.Aoki, K. , Kudo, M.Decision tree using class-dependent feature subsetsLECT NOTES COMPUT SC 2396, 761-769, 2002
528.Schulerud H, Albregtsen FEffects of many features candidates in feature selection and classificationLECT NOTES COMPUT SC 2396, 480-487, 2002
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Times Cited: 98 (81A+17B)737.Peterson LE, Coleman MA Logistic ensembles of Random Spherical Linear Oracles for microarray classification INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS Volume: 3 Issue: 4 Special Issue: Sp. Iss. SI Pages: 382-397 Published: 2009738.Khakpour, A.R. , Liu, A.X.
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742.Bouchrika I, Nixon MSExploratory Factor Analysis of Gait Recognition Conference Information: 8th IEEE International Conference on Automatic Face and Gesture Recognition, SEP 17-19, 2008 Amsterdam, NETHERLANDSSource: 2008 8TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2008), VOLS 1 AND 2 Pages: 496-501 Published: 2008
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762.Li FL, Xu KXOptimal Gabor Kernel's Scale and orientation selection for face classificationOPTICS AND LASER TECHNOLOGY Volume: 39 Issue: 4 Pages: 852-857 Published: JUN 2007
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766.M Cheriet, N Kharma, C LiuCharacter Recognition Systems: A Guide for Students and Practitioners2007 - books.google.com
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769.SB Kotsiantis, D Kanellopoulos, PE PintelasData Preprocessing for Supervised Leaning INTERNATIONAL JOURNAL OF COMPUTER SCIENCE VOLUME 1 NUMBER 2 2006 1306-4428
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771.M SchuhmacherRating für den deutschen Mittelstand: Neue Ansätze zur Prognose von Unternehmensausfällen 2006 - books.google.com
772.SB Kotsiantis, D Kanellopoulos, PE PintelasData Preprocessing for Supervised Leaning INTERNATIONAL JOURNAL OF COMPUTER SCIENCE VOLUME 1 NUMBER 2 2006 1306-4428
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786.Li SZ, Zhu L, Zhang ZQ, et al. Statistical learningof multi-view face detectionLECT NOTES COMPUT SC 2353: 67-81 2002
787.Sundic T, Marco S, Perera A, et al. Fuzzy inference system for sensor array calibration: prediction of CO and CH4 levels in variable humidity conditions.CHEMOMETR INTELL LAB 64: (2) 103-122 NOV 28 2002
788.Last A, Bunke H, Kandel A A feature-based serial approach to classifier combinationPATTERN ANAL APPL 5 (4): 385-398 2002
789.Pernkopf F, O'Leary PVisual inspection of machined metallic high-precision surfacesEURASIP J APPL SIG P 2002: (7) 667-678 JUL 2002
790.Aoki K , Kudo MDecision Tree using class-dependent feature subsetsLECT NOTES COMPUT SC 2396, 761-769, 2002
791.Dey, S. , Roberts, S.A.On high dimensional data spaces MANAGEMENT INFORMATION SYSTEMS 6, pp. 239-250, 2002
792.Perera, A. , Sundic, T., Pardo, A., Gutierrez-Osuna, R., Marco, S.A portable electronic nose based on embedded PC technology and GNU/Linux: Hardware, software and applications IEEE SENSORS JOURNAL 2 (3), pp. 235-246, 2002
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795.LE Peterson, MA Coleman Principal direction linear oracle for gene expression ensemble classification - Workshop on Computational Intelligence Approaches for the …, 2007 - ma.utexas.edu
796.LE Peterson, MA ColemanLogistic Ensembles for Random Spherical Linear OraclesICMLA 2007: SIXTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS Pages: 618-623 Published: 2007
797.U Maran, S SiidQSAR Modeling of Mutagenicity on Non-Congeneric Sets of Organic Compounds Artificial Intelligence Methods and Tools for Systems …, 2005 - books.google.com
798.Kittler JA Framework for Classifier Fusion: Is It Still Needed? LECT NOTES COMPUT SC 1876, 45-56, 2000
799.Hargrove, L. , Scheme, E., Englehart, K., Hudgins, B.Principal components analysis preprocessing to reduce controller delays in pattern recognition based myoelectric control 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07, art. no. 4353851, pp. 6511-6514, 2007
800.BQ Huang, MT KechadiA Fast Feature Selection Model for Online Handwriting Symbol Recognition Machine Learning and Applications, 2006. ICMLA'06. 5th …, 2006
801.Yu, Y. , Huang, H., Ruan Jian, Xue BaoEnsemble approach to intrusion detection based on improved multi-objective genetic algorithmJOURNAL OF SOFTWARE 18 (6), pp. 1369-1378, 2007
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803.Guratzsch, R.F. , Mahadevan, S.Health monitoring sensor placement optimization under uncertainty11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 3, pp. 1503-1511, 2006
804.Reunanen, J. Search strategies Studies in Fuzziness and Soft Computing 207, pp. 119-136, 2006
805.A Schlapbach, V Kilchherr, H Bunke Improving Writer Identification by Means of Feature Selection and Extraction Proceedings of the International Conference on Document Analysis and Recognition, ICDAR 2005, art. no. 1575524, pp. 131-135, 2005 - doi.ieeecomputersociety.org
806.DeSimio, M. , Olson, S., Derriso, M.Decision uncertainty in a structural health monitoring system Proceedings of SPIE - The International Society for Optical Engineering 5764, pp. 530-541, 2005
807.Sun, Y. Babbs, C.F. Delp, E.J. A Comparison of Feature Selection Methods for the Detection of Breast Cancers in Mammograms: Adaptive sequential floating search vs. genetic algorithm 27th Annual International Conference of the Engineering in Medicine and Biology Society 2005. IEEE-EMBS 2005, art. no. 1615996, pp. 6532-6535, 2005Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005, 6532-6535
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811.Markou M and Singh STitle: Feature selection based on a black hole model of data reorganization
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812.Farmer ME., Bapna S, and Jain AKTitle: Large scale feature selection using modified random mutation hill climbingSource: Proc. of the 17th Int. Conference on Pattern Recognition 2, Cambridge, UK, 23-26 August 2004, pp. 287-290, 2004
813.Y Sun, C Babbs, EJ DelpFull-field mammogram analysis based on the identification of normal regionsIEEE International Conf on Biomedical Imaging: Macro to Nano, 2004, pp. 112-122, 2004 - ieeexplore.ieee.org
814.Singh, S. , Singh, M., Markou, M.Title: Feature selection for face recognition based on data partitioning Source: Proceedings - International Conference on Pattern Recognition 16 (1), pp. 680-683, 2002
815.A AndreopoulosStatistical Models of Appearance for Functional Analysis of Cardiac MRI2005 - cs.yorku.ca
816.Shanmugasundaram, K. , Kharrazi, M., Memon, N.Nabs: a system for detecting resource abuses via characterization of flow content type Proceedings -20th Annual Computer Security Applications Conference, ACSAC, pp. 316-325, 2004 - ieeexplore.ieee.org
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821.ZQ Zhang, MJ Li, SZ Li, HJ ZhangMulti-view face detection with FloatBoost Applications of Computer Vision, 2002.(WACV 2002) - ieeexplore.ieee.org
822.Bouillant, S. , Miteran, J., Bourennane, E., Paindavoine, M.Real-time flaw detection on complex Part: Study of SVM and hyperrectangle based method ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 4, pp. IV/3596-IV/3599, 2002
823.J Ashimine, TE De Campos, RM Cesar Jr, I BlochPerson recognition through eigeneye selection based on fuzzy distance to multiple class prototypes Proceedings of the Computer Graphics and Image Processing, pp. 407-, 2002 - ieeexplore.ieee.org
824.L Portinale, L SaittaFeature Selection 2002 - www-ai.cs.uni-dortmund.de
825.Campos T.E., Bloch I., and R.M.Cesar Jr. M.R.Feature Selection based on Fuzzy Distances between Clusters: First Results on Simulated DataAdvances in Pattern Recognition, Proceedings of the Second International Conference, Rio de Janeiro, Brazil, March 11-14, 2001, 186-195, 2001
826.Van Ginneken, B. , Frangi, A.F., Staal, J.J., Ter Haar Romeny, B.M., Viergever, M.A.A non-linear gray-level appearance model improves active shape model segmentation Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis, pp. 205-212, 2001- doi.ieeecs.org
827.Freudenthal, E. , Lavely, E., Pierson, W., Argyle, M., Fishman, J.ATR complexity and template set size Proceedings of SPIE - The International Society for Optical Engineering 4382, pp. 286-297, 2001
828.TE de CamposTecnicas de seleçao de caracterısticas com aplicaçoes em reconhecimento de facesDisertation Thesis 2001 - robots.ox.ac.uk
Combinaison d’e floues/possibilistes pour la selection de variables Fuzzy/possibilistic labels … laas.fr
830.J Miteran, S Bouillant, M Paindavoine, E …Implantation automatique et optimisee d’une fonction de decision al’aide des SVM et du VHDLlaas.fr
831.LPDW Wahlster, H Schultheis Verfahren zur Interpretation Physiologischer Daten zur Online-Erkennung Kognitiver und Affektiver …cosy.informatik.uni-bremen.de
832.FM Schleif Momentbasierte Methoden zur Schriftzeichenerkennunggaos.org UNIVERSITAT LEIPZIG FAKULTAT FUR MATHEMATIK UND INFORMATIK Institut furInformatik Momentbasierte Methoden zur Schriftzeichenerkennung Diplomarbeit ...
833.J Ashimine, A de Concentracao, C da Computacao Definicao de uma nova funcao criterio baseada em distancias nebulosas com multiplos prototipos para …vision.ime.usp.br
834.DC Martins-Jr, RM Cesar-Jr, J Barrera Reduçao de dimensionalidade utilizando entropia condicional media: aplicaçoes em filtragem de …vision.ime.usp.br
CITATION:DIVERGENCE BASED FEATURE SELECTION FOR MULTIMODAL CLASS DENSITIES
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860.Coetzee FMCorrecting the Kullback-Leibler distance for feature selection PATTERN RECOGNITION LETTERS 26 (11): 1675-1683 AUG 2005
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873.Moss S, Hancock ER. Registering incomplete radar images using EM algorithm VISION COMPUT 15: (8) 637-648 AUG 1997
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875.Finch AM, Wilson RC, Hancock ER An Expectation-Maximisation Approach to Graph Matching LECT NOTES COMPUT SC 1223: 425-439 1997
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902.Wang HX, Zhang QB, Luo B, et al. Robust mixture modelling using multivariate t-distribution with missing information PATTERN RECOGNITION LETTERS Volume: 25 Issue: 6 Pages: 701-710 Published: APR 19 2004
903.Bacauskiene, M. , Verikas, A.Selecting salient features for classification based on neural network committeesPATTERN RECOGN LETT 25 (16), pp. 1879-1891, 2004
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NOVOVICOVA J, MALIK A PATTERN RECOGNITION AND IMAGE ANALYSIS, PROCEEDINGS
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928.Bacauskiene M, Verikas ASelecting salient features for classification based on neural network committeesPATTERN RECOGNITION LETTERS Volume: 25 Issue: 16 Pages: 1879-1891 Published: DEC 2004
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952.Chang YC, Lai PC, Lee MTAn integrated approach for operational knowledge acquisition of refuse incinerators EXPERT SYSTEMS WITH APPLICATIONS 33 (2): 413-419 AUG 2007
953.Serpico SB, Moser GExtraction of spectral channels from hyperspectral images for classification purposes IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 45 (2): 484-495 FEB 2007
954.Navas E, Hernaez I, Luengo I An objective and subjective study of the role of semantics and prosodic features in building corpora for emotional TTS IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING Volume: 14 Issue: 4 Pages: 1117-1127 Published: JUL 2006
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956.Bacauskiene M, Verikas ASelecting salient features for classification based on neural network committees PATTERN RECOGNITION LETTERS 25 (16): 1879-1891 DEC 2004
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1005. Olvera-Lopez JA, Martinez-Trinidad JF, Carrasco-Ochoa JARestricted sequential floating search applied to object selection Conference Information: 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, JUL 18-20, 2007 Leipzig, GERMANYMACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, PROCEEDINGS Book Series: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Volume: 4571 Pages: 694-702 Published: 2007
1006. CO’Brien, C HeneghanA comparison of algorithms for estimation of a respiratory signal from the surface electrocardiogram COMPUTERS IN BIOLOGY AND MEDICINE 2007
1007. CC Chang, TY LinLinear feature extraction by integrating pairwise and global discriminatory information via …PATTERN RECOGN 41: (4) 1373-1383 APRIL 2007
1008. JA Olvera-López, JF Martínez-Trinidad, JA …Restricted Sequential Floating Search Applied to Object SelectionLECTURE NOTES IN COMPUTER SCIENCE 2007
1009. L Liu, W Lai, XS Hua, SQ Yang Video Histogram: A Novel Video Signature for Efficient Web Video Duplicate DetectionLECTURE NOTES IN COMPUTER SCIENCE, 2007
1010. X Ji, W Lu, Y Cai, N ChenSupport vector classification for structure-activity-relationship of 1-(1H-1, 2, 4-triazole-1-yl)-2- …Journal of Shanghai University (English Edition), 521-526, 2007
1011. S Liu, RR Martin, FC Langbein, PL Rosin Segmenting geometric reliefs from textured background surfacesCOMPUTER-AIDED DESIGN AND APPLICATIONS, 2007
1012. CC Lee, YC Chiang, CY Shih, HM Huang Caption Localization and Detection for News Videos Using Frequency Analysis and Wavelet FeaturesTools with Artificial Intelligence, 2007. ICTAI 2007. 19th …, 2007
1013. MB Merickel Jr, MD Abràmoff, M Sonka, X Wu Segmentation of the optic nerve head combining pixel classification and graph search Proc. of SPIE, 2007
1014. Pujol, J VitriàDiscriminant ECOC: A Heuristic Method for Application Dependent Design of Error Correcting Output …IEEE T PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2006 - doi.ieeecomputersociety.org
1015. V Grancharov, DY Zhao, J Lindblom, WB Kleijn Low-complexity, nonintrusive speech quality assessment IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING Volume: 14 Issue: 6 Pages: 1948-1956 Published: NOV 2006 -
1016. S Piramuthu On preprocessing data for financial credit risk evaluationEXPERT SYSTEMS WITH APPLICATIONS 2006
1017. J Chen, Z Qin Dimensionality Reduction for Evolving RBF Networks with Particle SwarmsLECTURE NOTES IN COMPUTER SCIENCE, 2006
1018. M Nemoto, A Shimizu, H Kobatake, H Takeo, S Nawano Study on Cascade Classification in Abnormal Shadow Detection for MammogramsLECTURE NOTES IN COMPUTER SCIENCE, 2006
1019. X Yuan, XS Hua, M Wang, XQ Wu Manifold-ranking based video concept detection on large database and feature poolProceedings of the 14th annual ACM international conference, Santa Barbara, CA, USA, pp. 623-626, 2006 - portal.acm.org
1020. Olvera-Lopez JA, Martinez-Trinidad JF, Carrasco-Ochoa JARestricted sequential floating search applied to object selection Conference Information: 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, JUL 18-20, 2007 Leipzig, GERMANYMACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, PROCEEDINGS Book Series: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Volume: 4571 Pages: 694-702 Published: 2007
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1030. M Markou, S Singh Feature selection based on a black hole model of data reorganizationConference Information: 17th International Conference on Pattern Recognition (ICPR), AUG 23-26, 2004 British Machine Vis Assoc, Cambridge, ENGLAND
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LECTURE NOTES IN COMPUTER SCIENCE 4225: 578-587 2006
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CITATION:ROAD SIGN CLASSIFICATION USING LAPLACE KERNEL CLASSIFIER
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1096. Ruta, A. , Li, Y., Liu, X.Real-time traffic sign recognition from video by class-specific discriminative features PATTERN RECOGNITION Volume: 43 Issue: 1 Pages: 416-430 Published: JAN 2010
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1102. Pekalska E, Duin RPWBeyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS Volume: 38 Issue: 6 Pages: 729-744 Published: NOV 2008
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1105. Barnes N, Zelinsky A, Fletcher LSReal-time speed sign detection using the radial symmetry detector IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Volume: 9 Issue: 2 Pages: 322-332 Published: JUN 2008
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