NOVOVICOVA J, PUDIL P, KITTLER J IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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Times Cited: 56 (42A+14B)
Bouguila N
A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING Volume: 21 Issue: 12 Pages: 1649-1664 Published: DEC 2009
Bouguila, N.
On multivariate binary data clustering and feature weighting
COMPUTATIONAL STATISTICS AND DATA ANALYSIS 54 (1), pp. 120-134, 2010
Bouguila N, Daoudi K
A Statistical Approach for Binary Vectors Modeling and Clustering
Conference Information: 13th Pacific-Asia Conference on Knowledge and Data Mining, APR 27-30, 2009 Bangkok, THAILAND
Source: ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS Book Series: Lecture Notes in Artificial Intelligence Volume: 5476 Pages: 184-195 Published: 2009
Ahmed, S., Iftekharuddin, K.M., Ogg, R.J., Laningham, F.H.
Efficiacy of texture, shape and intensity features for robust posterior-fossa tumor segmentation in MRI
Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7260, art. no. 726020, 2009
R Lewis, J Kalita, S Sarmah, D Bhattacharyya
Music Industry Scalar Analysis Using Unsupervised Fourier Feature Selection
Recent Advances in Intelligent Information Systéme ISBN 978-83-60434-59-8, pages 485–494, 2009 - iis.ipipan.waw.pl,
Boutemedjet S, Bouguila N, Ziou D
A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering
Source: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Volume: 31 Issue: 8 Pages: 1429-1443 Published: AUG 2009
N Bouguila, K Daoudi
A Statistical Approach for Binary Vectors Modeling and Clustering
LECTURE NOTES IN COMPUTER SCIENCE 5476, pp. 184-195, 2009
P Křížek
Feature selection: stability, algorithms, and evaluation
Ph.D. Thesis 2008
Lai, P.-H., O'Sullivan, J.A., Chen, M., Sirevaag, E.J., Kaplan, A.D., Rohrbaugh, J.W.
A ROBUST FEATURE SELECTION METHOD FOR NONCONTACT BIOMETRICS BASED ON LASER DOPPLER VIBROMETRY
Conference Information: 6th Biometrics Symposium (BSYM 2008), SEP 23-25, 2008 Tampa, FL
Source: 2008 BIOMETRICS SYMPOSIUM (BSYM) Pages: 65-70 Published: 2008
Kim, D.-J., Bien, Z.
Design of "Personalized" Classifier Using Soft Computing Techniques for "Personalized" Facial Expression Recognition
IEEE TRANSACTIONS ON FUZZY SYSTEMS 16 (4), pp. 874-885, 2008
Wang, Y., Miller, D.J., Clarke, R.
Approaches to working in high-dimensional data spaces: gene expression microarrays
BRITISH JOURNAL OF CANCER Volume: 98 Issue: 6 Pages: 1023-1028 Published: MAR 18 2008
Chakraborty D, Pal NR
Selecting useful groups of features in a connectionist framework
IEEE TRANSACTIONS ON NEURAL NETWORKS Volume: 19 Issue: 3 Pages: 381-396 Published: MAR 2008
Silva J
On optimal signal representation for statistical learning and Pattern Recognition
Ph.D. Thesis 2008
Toygarlar TO
Feature Selection and Extraction: a Video Retrieval Perspective
Diploma Thesis - staff.science.uva.nl., 2008
D Gelbart
Ensemble Feature Selection for Multi-Stream Automatic Speech Recognition
Diploma Thesis, 2008 - icsi.berkeley.edu
Song XM, Fan GL
Selecting salient frames for spatiotemporal video modeling and segmentation
IEEE TRANSACTIONS ON IMAGE PROCESSING 16 (12): 3035-3046 DEC 2007
S Boutemedjet, D Ziou, N Bouguila
A Graphical Model for Content Based Image Suggestion and Feature Selection
LECTURE NOTES IN COMPUTER SCIENCE, 4702, pp. 30–41, 2007
EFV Santacruz, D Chakraborty - delta.cs.cinvestav.mx
A Modified Bottleneck Neural Network for Dimensionality Reduction
- delta.cs.cinvestav.mx
Chen YX, Bi JB, Wang JZ
MILES: Multiple-Instance Learning via Embedded instance Selection
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 28 (12): 1931-1947 DEC 2006
Abe N, Kudo M, Toyama J, et al.
Classifier-independent feature selection on the basis of divergence criterion
PATTERN ANALYSIS AND APPLICATIONS 9 (2-3): 127-137 OCT 2006
Lozano M, Sotoca JM, Sanchez JS, et al
Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces
PATTERN RECOGNITION 39 (10): 1827-1838 OCT 2006
Song XM, Fan GL
Joint key-frame extraction and object segmentation for content-based video analysis
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 16 (7): 904-914 JUL 2006
Graham MW, Miller DJ
Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection
IEEE TRANSACTIONS ON SIGNAL PROCESSING 54 (4): 1289-1303 APR 2006
Abe N, Kudo M
Non-parametric classifier-independent feature selection
PATTERN RECOGNITION 39 (5): 737-746 MAY 2006
Abe N, Kudo M
Entropy criterion for classifier-independent feature selection
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3684: 689-695 2005
Coetzee FM
Correcting the Kullback-Leibler distance for feature selection
PATTERN RECOGNITION LETTERS 26 (11): 1675-1683 AUG 2005
Law MHC, Figueiredo MAT, Jain AK
Simultaneous feature selection and clustering using mixture models
IEEE T PATTERN ANAL. AND MACHINE INTELLIGENCE 26 (9): 1154-1166 SEP 2004
Kim, D.-J., Bien, Z.
A novel feature selection for fuzzy neural networks for personalized facial expression recognition
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E87A (6): 1386-1392 JUN 2004
Abe N, Kudo M,Shimbo M
Classifier –independent feature selection based on non-parametric discriminant analysis
LECT NOTES COMPUT SC 2396, 470-479, 2002
Grim J, Kittler J, et al.
Multiple classifier fusion in probabilistic neural networks
PATTERN ANAL APPL 5: (2) 221-233 JUN 2002
NA Schmid, JA O’Sullivan
Thresholding Method for Dimensionality Reduction in Recognition Systems
IEEE TRANSACTIONS ON INFORMATION THEORY 47 (7): 2903-2920, NOVEMBER 2001- ieeexplore.ieee.org
VSN Prasad, AG Faheema, S Rakshit
Feature Selection in Example-Based Image Retrieval Systems
Proceeding of Indian Conference on Vision Graphics and Image …, 2002
MS Lew
LEARNING VISUAL CONCEPTS FOR CONTENT BASED RETRIEVAL
Chapter in book - Advances in Image Processing and Understanding: A …, 2002 - books.google.com
MTL Albalate
Data Reduction Techniques in Classification Processes
Ph. D. THESIS, 2007 - tdr.cesca.es
Chakraborty D
Unidad Zacatenco Departamento de Computacion
Ph. D. THESIS, 2007
Bruzzone L, Serpico SB
A technique for feature selection in multiclass problems
INT J REMOTE SENS 21: (3) 549-563 FEB 15 2000
Abe N, Kudo M, Toyama J, Shimbo M
A Divergence Criterion for Classifier-Independent Feature Selection
LECT NOTES COMPUT SC 1876, 668-676, 2000
Kudo M., Sklansky J.
Classifier Independent Feature Selection for Two-Stage Feature Selection.
LECT NOTES COMPUT SC 1451: 548-554 1998
Moss S, Hancock ER.
Registering incomplete radar images using EM algorithm
VISION COMPUT 15: (8) 637-648 AUG 1997
Leite JAF, Hancock ER
Iterative curve organisation with the EM algorithm
PATTERN RECOGN LETT 18: (2) 143-155 FEB 1997
Finch AM, Wilson RC, Hancock ER
An Expectation-Maximisation Approach to Graph Matching
LECT NOTES COMPUT SC 1223: 425-439 1997
K List
A Review of Machine Learning Techniques for Processing Multimedia Content
mee.tcd.ie
Graham MW
Unsupervised learning of parsimonious mixtures of large spaces with integrated components and feature selection
The Pennsylvania State University The Graduate School, Department of Elecrtical Engineering
Master Thesis 2005,
X Song, G Fan
Joint Key-Frame Extraction and Object-Based Video Segmentation
Proceedings of the IEEE Workshop on Motion and Video 2005
Sotoca JM, Sánches JS, Pla F
Attribute relevance in multiclass data sets using the naive Bayes rule
Proc. of the 17th Int. Conference on Pattern Recognition, Cambridge, UK, 23-26 August 2004, 3, pp. 426-429, 2004
Grim J
Title: Pravděpodobnostní neuronové sítě
Source: Umělá inteligence (4), Book, Academia, Praha, ISBN 80-200-1044-0, Praha 2003
Webb Andrew
Title: Statistical Pattern Recognition.
Source: Book, John Wiley \& Sons, 2nd.Edition, 2002
Jaimes A, Chang SFU
Concepts and Techniques for Indexing Visual Semantics
Chapter in Book IMAGE DATABASES, John Wiley & Sons, 2002 - doi.wiley.com
Libal V.
Title: Road Signs Recognition System.
Disertation Thesis, Faculty of El. Eng.CTU, Prague, 2000
A Jaimes, SF Chang
Automatic Selection of Visual Features and Classifiers
Storage and Retrieval for Image and Video Databases VIII - ee.columbia.edu
IS&T/SPIE Storage and Retrieval for Image and Video Databases VIII,
Vol. 3972, San Jose, CA, Jan. 2000
Webb Andrew
Title: Statistical Pattern Recognition.
Source: Book, Arnold -London Sydney, Auckland; co-published in United State of America, Oxford University Press Inc. New York, 454 pages, 1999
Paclík P.
Title: The Automatical Classification of Road Signs
Source: Master Thesis, Faculty of Transportation Sciences CTU, Prague, 1998
Kudo M., Tenmoto H., Sumiyoshi S., Shimbo M.
A subclass-based mixture model for pattern recognition
Proceedings of the 14th International Conference on Pattern Recognition ICPR'98, Brisbane, Australia, August 16-20, 870-872, 1998 1998 - ieeexplore.ieee.org.
Bruzzone L., Serpico S.B.
Title: Feature Selection in Multiclass Cases: a Proposal and an Experimental Investigation.
Source: Proceedings of the 1st International Workshop STIPR'97 on Statistical Techniques in Pattern Recognition, Prague, Czech Republic June 9-11, 1997, 19-24, 1997.
Kudo M., Sklansky J.
Title: Comparative Evaluation of Medium- and Large-Scaled Feature Selectors for Pattern Classifier.
Source: Proceedings of the 1th International Workshop STIPR'97 on Statistical Techniques in Pattern Recognition, Prague, Czech Republic June 9-11, 91-96, 1997
M Pelillo
Energy Minimization Methods in Computer Vision and Pattern Recognition:
International Workshop
LECT NOTES COMPUT SC, Marcello Pelillo Edwin R. Hancock (Eds.), 1997 books.google.com
CITATION:
FEATURE-SELECTION BASED ON THE APPROXIMATION OF CLASS DENSITIES BY FINITE
MIXTURES OF SPECIAL TYPE
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