14.1.3 Feature Selection in Pattern Recognition or Clustering

Andrews, H.C.,
Multidimensional Rotations in Feature Selection,
TC(20), No. 9, September 1971, pp. 1045. BibRef 7109

Fukunaga, K., Koontz, W.L.G.,
Application of the Karhunen-Loeve Expansion to Feature Selection and Ordering,
TC(19), No. 4, April 1970, pp. 311. See also Algorithm for Finding Intrinsic Dimensionality of Data, An. BibRef 7004

Rasek, E.,
A contribution to the problem of feature selection with similarity functionals in pattern recognition,
PR(3), No. 1, April 1971, pp. 31-36.
WWW Version. 0309 BibRef

Kittler, J.V.[Josef V.], Young, P.C.[Peter C.],
A new approach to feature selection based on the Karhunen-Loeve expansion,
PR(5), No. 4, December 1973, pp. 335-352.
WWW Version. 0309 BibRef

Chen, C.H.,
On a class of computationally efficient feature selection criteria,
PR(7), No. 1-2, June 1975, pp. 87-94.
WWW Version. 0309 BibRef

Lakshminarasimhan, A.L., and Dasarathy, B.V.,
A Unified Approach to Feature Selection and Learning in Unsupervised Environments,
TC(24), September 1975, pp. 948-952. BibRef 7509

Dasarathy, B.V.,
Feature Selection and Concept of Immediate Neighborhood in the Context of Clustering Techniques,
PIEEE(62), No. 4, April 1974, pp. 529-530. BibRef 7404

Dasarathy, B.V.,
FEAST: Feature Evaluation and Selection Technique for Deployment in Unsupervised Nonparametric Environments,
CIS(6), No. 4, September 1977, pp. 307-315. BibRef 7709

Dasarathy, B.V.,
AHIMSA: Ad hoc Histogram Information Measure Sensing Algorithm for Feature Selection in the Context of Histogram Inspired Clustering Techniques,
PIEEE(64), No. 9, September 1976, pp. 1446-1447. BibRef 7609

Dasarathy, B.V.,
A Generalized Discriminant Hyperplane Approach to Pattern Classification,
PRL(12), No. 2, February 1991, pp. 127-128. BibRef 9102

Kowalski, B.R., Bender, C.F.,
An orthogonal feature selection method,
PR(8), No. 1, January 1976, pp. 1-4.
WWW Version. 0309 BibRef

Christensen, R., Reichert, T.,
Unit measure violations in pattern recognition: Ambiguity and irrelevancy,
PR(8), No. 4, October 1976, pp. 239-245.
WWW Version. 0309 BibRef

Narendra, P.M., Fukunaga, K.,
A Branch and Bound Algorithm for Feature Subset Selection,
TC(26), No. 9, September 1977, pp. 917-922. BibRef 7709

Decell, Jr., H.P., Guseman, Jr., L.F.,
Linear feature selection with applications,
PR(11), No. 1, 1979, pp. 55-63.
WWW Version. 0309 BibRef

Bryant, J.[Jack], Guseman, Jr., L.F.,
Distance preserving linear feature selection,
PR(11), No. 5-6, 1979, pp. 347-352.
WWW Version. 0309 BibRef

Boekee, D.E., van der Lubbe, J.C.A.,
Some aspects of error bounds in feature selection,
PR(11), No. 5-6, 1979, pp. 353-360.
WWW Version. 0309 BibRef

Peters, C.[Charles],
Feature selection for best mean square approximation of class densities,
PR(11), No. 5-6, 1979, pp. 361-364.
WWW Version. 0309 BibRef

Young, D.M.[Dean M.], Odell, P.L.[Patrick L.],
A formulation and comparison of two linear feature selection techniques applicable to statistical classification,
PR(17), No. 3, 1984, pp. 331-337.
WWW Version. 0309 BibRef

Hester, C.F., Casasent, D.,
Multivariant Techniques for Multiclass Pattern Recognition,
AppOpt(19), 1980, pp, 1758-1761. BibRef 8000

Wismath, S.K., Soong, H.P., Akl, S.G.,
Feature selection by interactive clustering,
PR(14), No. 1-6, 1981, pp. 75-80.
WWW Version. 0309 BibRef

di Gesù, V., Maccarone, M.C.,
Features selection and 'possibility theory',
PR(19), No. 1, 1986, pp. 63-72.
WWW Version. 0309 BibRef

Bidasaria, H.B.,
Least desirable feature elimination in a general pattern recognition problem,
PR(20), No. 3, 1987, pp. 365-370.
WWW Version. 0309 BibRef

Morgera, S.D., and Datta, L.,
Toward a Fundamental Theory of Optimal Feature Selection: Part I,
PAMI(6), No. 5, September 1984, pp. 601-616. BibRef 8409
Earlier:
Optimal Feature Selection: Part I Theory,
ICPR84(134-137). BibRef

Morgera, S.D.,
Toward a Fundamental Theory of Optimal Feature Selection: Part II -- Implementation and Computational Complexity,
PAMI(9), No. 1, January 1987, pp. 29-38. BibRef 8701

Datta, L., and Morgera, S.D.,
Optimal Feature Selection: Part II -- Implementation,
ICPR84(138-141). BibRef 8400

Rumelhart, D.E., Zipser, D.,
Feature Discovery by Computer Learning,
CogSci(9), 1985, pp. 75-112. BibRef 8500

Siedlecki, W., and Sklansky, J.,
On Automatic Feature Selection,
PRAI(2), No. 2, 1988, pp. 197-220. BibRef 8800

Siedlecki, W., and Sklansky, J.,
A Note on Genetic Algorithms for Large-Scale Feature Selection,
PRL(10), November 1989, pp. 335-347. BibRef 8911
And:
Large-Scale Feature Selection,
HPRCV97(Chapter I:3). (Univ California) (reprint) Discussion of best-first search in the space of feature subsets, including beam-search. BibRef

Siedlecki, W.[Wojciech], Siedlecka, K.[Kinga], Sklansky, J.[Jack],
An Overview of Mapping Techniques for Exploratory Pattern Analysis,
PR(21), No. 5, 1988, pp. 411-429.
WWW Version. BibRef 8800

Siedlecki, W.[Wojciech], Siedlecka, K.[Kinga], Sklansky, J.[Jack],
Experiments on Mapping Techniques for Exploratory Pattern Analysis,
PR(21), No. 5, 1988, pp. 431-438.
WWW Version. 0309 BibRef

Malina, W.,
On an Extended Fischer Criterion for Feature Selection,
PAMI(3), 1981, pp. 611-614. BibRef 8100

Yu, B.[Bin], Yuan, B.Z.[Bao-Zong],
A more efficient branch and bound algorithm for feature selection,
PR(26), No. 6, June 1993, pp. 883-889.
WWW Version. 0401 BibRef

Kudo, M.[Mineichi], Shimbo, M.[Masaru],
Feature selection based on the structural indices of categories,
PR(26), No. 6, June 1993, pp. 891-901.
WWW Version. 0401 BibRef

Lazo-Cortes, M., Ruiz-Shulcloper, J.,
Determining the Feature Relevance for Nonclassically Described Objects and a New Algorithm to Compute Typical Fuzzy Testors,
PRL(16), No. 12, December 1995, pp. 1259-1265. BibRef 9512

Lazo-Cortes, M.[Manuel], Ruiz-Shulcloper, J.[Jose], Alba-Cabrera, E.[Eduardo],
An Overview of the Evolution of the Concept of Testor,
PR(34), No. 4, April 2001, pp. 753-762.
WWW Version. 0101 BibRef

Kittler, J.V.,
Feature Selection and Extraction,
HPRIP86(59-83). Feature Selection. BibRef 8600

Novovicova, J., Pudil, P., Kittler, J.V.,
Divergence Based Feature-Selection for Multimodal Class Densities,
PAMI(18), No. 2, February 1996, pp. 218-223.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9602
Earlier:
Feature Selection Based on Divergence for Empirical Class Densities,
SCIA95(989-996). BibRef

Pudil, P., Novovicova, J., Choakjarernwanit, N., Kittler, J.V.,
Feature Selection Based on the Approximation of Class Densities by Finite Mixtures of Special Type,
PR(28), No. 9, September 1995, pp. 1389-1398.
WWW Version. BibRef 9509

Pudil, P., Novovicova, J., Choakjarernwanit, N., Kittler, J.V.,
An Analysis of the Max-Min Approach to Feature Selection and Ordering,
PRL(14), 1993, pp. 841-847. BibRef 9300

Pudil, P., Novovicova, J., Kittler, J.V.,
Floating Search Methods in Feature-Selection,
PRL(15), No. 11, November 1994, pp. 1119-1125. BibRef 9411

Somol, P., Pudil, P., Novovicová, J., Paclík, P.,
Adaptive floating search methods in feature selection,
PRL(20), No. 11-13, November 1999, pp. 1157-1163. 0001
PDF Version. BibRef

Pudil, P., Ferri, F.J., Novovicova, J., Kittler, J.V.,
Floating Search Methods for Feature Selection with Nonmonotonic Criterion Functions,
ICPR94(B:279-283).
WWW Version. BibRef 9400

Pudil, P., Novovicová, J., Somol, P.,
Feature selection toolbox software package,
PRL(23), No. 4, February 2002, pp. 487-492.
HTML Version. 0202 BibRef

Somol, P., Pudil, P.,
Feature selection toolbox,
PR(35), No. 12, December 2002, pp. 2749-2759.
WWW Version. 0209 BibRef
Earlier:
Oscillating Search Algorithms for Feature Selection,
ICPR00(Vol II: 406-409).
WWW Version.
HTML Version. 0009 BibRef

Novovicová, J.[Jana], Somol, P.[Petr], Pudil, P.[Pavel],
Oscillating Feature Subset Search Algorithm for Text Categorization,
CIARP06(578-587).
WWW Version. 0611 BibRef

Somol, P., Pudil, P.,
Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms,
ICPR06(II: 736-739).
WWW Version. 0609 BibRef

Somol, P.[Petr], Pudil, P.[Pavel], Kittler, J.V.[Josef V.],
Fast Branch & Bound Algorithms for Optimal Feature Selection,
PAMI(26), No. 7, July 2004, pp. 900-912.
IEEE Abstract. IEEE Top Reference. 0406Predict criterion values to improve search. BibRef

Somol, P.[Petr], Novovicová, J.[Jana], Pudil, P.[Pavel],
Flexible-Hybrid Sequential Floating Search in Statistical Feature Selection,
SSPR06(632-639).
WWW Version. 0608 BibRef

Siddiqui, K.J., Liu, Y.H., Hay, D.R., Suen, C.Y.,
Feature-Selection Using A Proximity-Index Optimization Model,
PRL(15), No. 11, November 1994, pp. 1137-1141. BibRef 9411

Krishnan, S., Samudravijaya, K., Rao, P.V.S.,
Feature-Selection for Pattern-Classification with Gaussian Mixture-Models: A New Objective Criterion,
PRL(17), No. 8, July 1 1996, pp. 803-809. 9608 BibRef

Thawonmas, R., Abe, S.,
A Novel-Approach to Feature-Selection Based on Analysis of Class Regions,
SMC-B(27), No. 2, April 1997, pp. 196-207.
IEEE Top Reference. 9704 BibRef

Dietterich, T.G.,
Machine Learning Research: Four Current Directions,
AI Magazine(18), No. 4, 1997, pp. 97-136. BibRef 9700

Jelonek, J., Stefanowski, J.,
Feature Subset-Selection for Classification of Histological Images,
AIMed(9), No. 3, March 1997, pp. 227-239. 9704 BibRef

Soares, J.V., Renno, C.D., Formaggio, A.R., Yanasse, C.D.C.F., Frery, A.C.,
An Investigation of the Selection of Texture Features for Crop Discrimination Using SAR Imagery,
RSE(59), No. 2, February 1997, pp. 234-247. 9704 BibRef

Hardie, R.C., Vaidyanathan, M., McManamon, F.,
Spectral Band Selection and Classifier Design for a Multispectral Imaging Laser-Radar,
OptEng(37), No. 3, March 1998, pp. 752-762. 9804 BibRef

Holz, H.J., Loew, M.H.,
Multiclass Classifier Independent Feature Analysis,
PRL(18), No. 11-13, November 1997, pp. 1219-1224. 9806 BibRef

Cozzi, A., Worgotter, F.,
Reclustering Techniques Improve Early Vision Feature Maps,
PAA(1), No. 1, 1998, pp. 42-51. BibRef 9800

Lakany, H.M., Schukat-Talamazzini, E.G., Niemann, H., and Ghonaimy, M.A.R.,
Object recognition from 2D images using Kohonen self-organized feature maps,
PRIA(7), 1997, pp. 301-308. BibRef 9700

Basak, J.[Jayanta], De, R.K.[Rajat K.], Pal, S.K.[Sankar K.],
Unsupervised Feature Selection Using a Neuro-Fuzzy Approach,
PRL(19), No. 11, 30 September 1998, pp. 997-1006. BibRef 9809

Mitra, P.[Pabrita], Murthy, C.A., Pal, S.K.[Sankar K.],
Unsupervised Feature Selection Using Feature Similarity,
PAMI(24), No. 3, March 2002, pp. 301-312.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0202 BibRef
And: Correction: PAMI(24), No. 6, June 2002, pp. 721.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0206Feature selection for large (dimension and size) data sets. BibRef

Klimesova, D., Saic, S.,
Feature Selection Algorithm and Cobweb Correlation,
PRL(19), No. 8, June 1998, pp. 681-685. 9808 BibRef

Meyer-Baese, A.[Anke], Watzel, R.[Rolf],
Transformation radial basis neural network for relevant feature selection,
PRL(19), No. 14, December 1998, pp. 1301-1306. BibRef 9812

Shapira, Y.[Yair], Gath, I.[Isak],
Feature selection for multiple binary classification problems,
PRL(20), No. 8, August 1999, pp. 823-832. BibRef 9908

Bruzzone, L., Serpico, S.B.,
A technique for feature selection in multiclass problems,
JRS(21), No. 3, February 2000, pp. 549. 0002 BibRef

Bruzzone, L.,
An Approach to Feature Selection and Classification of Remote Sensing Images Based on the Bayes Rule for Minimum Cost,
GeoRS(38), No. 1, January 2000, pp. 429-438.
IEEE Top Reference. 0002 BibRef

Serpico, S.B., Bruzzone, L.,
A new search algorithm for feature selection in hyperspectral remote sensing images,
GeoRS(39), No. 7, July 2001, pp. 1360-1367.
IEEE Top Reference. 0108 BibRef

Brunzell, H., Eriksson, J.,
Feature reduction for classification of multidimensional data,
PR(33), No. 10, October 2000, pp. 1741-1748.
WWW Version. 0006 BibRef

Kudo, M.[Mineichi], Sklansky, J.[Jack],
Comparison of algorithms that select features for pattern classifiers,
PR(33), No. 1, January 2000, pp. 25-41.
WWW Version. 0005 BibRef

Vishwanathan, S.V.N., Murty, M.N.[M. Narasimha],
Kohonen's SOM with cache,
PR(33), No. 11, November 2000, pp. 1927-1929.
WWW Version. 0011 BibRef

Last, M.[Mark], Kandel, A.[Abraham], Maimon, O.[Oded],
Information-theoretic algorithm for feature selection,
PRL(22), No. 6-7, May 2001, pp. 799-811.
HTML Version. 0105 BibRef

Yang, J.[Jian], Yang, J.Y.[Jing-Yu],
Generalized K-L transform based combined feature extraction,
PR(35), No. 1, January 2002, pp. 295-297.
WWW Version. 0111 BibRef

Sebban, M.[Marc], Nock, R.[Richard],
A hybrid filter/wrapper approach of feature selection using information theory,
PR(35), No. 4, April 2002, pp. 835-846.
WWW Version. 0201 BibRef

Devi, V.S.[V. Susheela], Murty, M.N.[M. Narasimha],
An incremental prototype set building technique,
PR(35), No. 2, February 2002, pp. 505-513.
WWW Version. 0201 BibRef

Kim, S.W.[Sang-Woon], Oommen, B.J.,
Enhancing prototype reduction schemes with LVQ3-type algorithms,
PR(36), No. 5, May 2003, pp. 1083-1093.
WWW Version. 0301 BibRef

Kim, S.W.[Sang-Woon], Oommen, B.J.[B. John],
On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods,
PR(37), No. 2, February 2004, pp. 227-239.
WWW Version. 0311 BibRef

Kim, S.W.[Sang-Woon], Oommen, B.J.[B. John],
On Utilizing Search Methods to Select Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers,
PAMI(27), No. 1, January 2005, pp. 136-141.
IEEE Abstract. IEEE Top Reference. 0412PCA. Determine the dimensions of the classifier. BibRef

Kim, S.W.[Sang-Woon], Oommen, B.J.[B. John],
On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods,
PAMI(27), No. 3, March 2005, pp. 455-460.
IEEE Abstract. IEEE Top Reference. 0501 BibRef

Kim, S.W.[Sang-Woon], Oommen, B.J.[B. John],
Prototype reduction schemes applicable for non-stationary data sets,
PR(39), No. 2, February 2006, pp. 209-222.
WWW Version. 0512 BibRef

Kim, S.W.[Sang-Woon], Oommen, B.J.[B. John],
On using prototype reduction schemes to optimize dissimilarity-based classification,
PR(40), No. 11, November 2007, pp. 2946-2957.
WWW Version. 0707 BibRef
Earlier:
On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes,
SSPR06(826-834).
WWW Version. 0608 BibRef
And:
On Optimizing Dissimilarity-Based Classification Using Prototype Reduction Schemes,
ICIAR06(I: 15-28).
WWW Version. 0610Dissimilarity representation; Dissimilarity-based classification; Prototype reduction schemes (PRSs); Mahalanobis distances (MDs) BibRef

Kwak, N.[Nojun], Choi, C.H.[Chong-Ho],
Input Feature Selection by Mutual Information Based on Parzen Window,
PAMI(24), No. 12, December 2002, pp. 1667-1671.
IEEE Abstract. IEEE Top Reference. 0212 BibRef

Swiniarski, R.W.[Roman W.], Skowron, A.[Andrzej],
Rough set methods in feature selection and recognition,
PRL(24), No. 6, March 2003, pp. 833-849.
HTML Version. 0301 BibRef

Skowron, A.[Andrzej],
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach,
PReMI07(192-197).
WWW Version. 0712 BibRef

Bryll, R.[Robert], Gutierrez-Osuna, R.[Ricardo], Quek, F.[Francis],
Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets,
PR(36), No. 6, June 2003, pp. 1291-1302.
WWW Version. 0304 BibRef

Choi, E.[Euisun], Lee, C.[Chulhee],
Feature extraction based on the Bhattacharyya distance,
PR(36), No. 8, August 2003, pp. 1703-1709.
WWW Version. 0304 BibRef
Earlier: A2, A1:
Optimizing Feature Extraction for Multiclass Problems,
ICPR00(Vol II: 402-405).
WWW Version.
HTML Version. 0009 BibRef

Dong, M.[Ming], Kothari, R.[Ravi],
Feature subset selection using a new definition of classifiability,
PRL(24), No. 9-10, June 2003, pp. 1215-1225.
WWW Version. 0304 BibRef

Li, Y.H.[Yuan-Hong], Dong, M.[Ming], Hua, J.[Jing],
Localized feature selection for clustering,
PRL(29), No. 1, 1 January 2008, pp. 10-18.
WWW Version. 0711Clustering; Unsupervised learning; Feature selection; Scatter separability BibRef

Chen, X.W.[Xue-Wen],
An improved branch and bound algorithm for feature selection,
PRL(24), No. 12, August 2003, pp. 1925-1933.
WWW Version. 0304 BibRef

Iannarilli, F.J., Rubin, P.A.,
Feature selection for multiclass discrimination via mixed-integer linear programming,
PAMI(25), No. 6, June 2003, pp. 779-783.
IEEE Abstract. IEEE Top Reference. 0306Recast branch-and-bound feature selection as linear programming. BibRef

Bustos, B.[Benjamin], Navarro, G.[Gonzalo], Chávez, E.[Edgar],
Pivot selection techniques for proximity searching in metric spaces,
PRL(24), No. 14, October 2003, pp. 2357-2366.
WWW Version. 0307 BibRef

Chávez, E.[Edgar], Navarro, G.[Gonzalo],
A compact space decomposition for effective metric indexing,
PRL(26), No. 9, 1 July 2005, pp. 1363-1376.
WWW Version. 0506 BibRef

Girolami, M., He, C.[Chao],
Probability density estimation from optimally condensed data samples,
PAMI(25), No. 10, October 2003, pp. 1253-1264.
IEEE Abstract. IEEE Top Reference. 0310Parzen window estimator. BibRef

Bressan, M.[Marco], Vitria, J.[Jordi],
On the selection and classification of independent features,
PAMI(25), No. 10, October 2003, pp. 1312-1317.
IEEE Abstract. IEEE Top Reference. 0310Feature selection when classes are modeled by statistically independent features. BibRef

Pujol, O.[Oriol], Radeva, P.I.[Petia I.], Vitrià, J.[Jordi],
Discriminant ECOC: A Heuristic Method for Application Dependent Design of Error Correcting Output Codes,
PAMI(28), No. 6, June 2006, pp. 1007-1012.
WWW Version. 0605Applied to traffic signs. BibRef

Pujol, O.[Oriol], Radeva, P.I.[Petia I.],
Solving Particularization with Supervised Clustering Competition Scheme,
IbPRIA05(II:11).
WWW Version. 0509 BibRef

Escalera, S.[Sergio], Tax, D.M.J.[David M.J.], Pujol, O.[Oriol], Radeva, P.[Petia], Duin, R.P.W.[Robert P.W.],
Subclass Problem-Dependent Design for Error-Correcting Output Codes,
PAMI(30), No. 6, June 2008, pp. 1041-1054.
WWW Version. 0804 BibRef

Escalera, S.[Sergio], Pujol, O.[Oriol],
ECOC-ONE: A Novel Coding and Decoding Strategy,
ICPR06(III: 578-581).
WWW Version. 0609 BibRef

Escalera, S.[Sergio], Pujol, O.[Oriol], Radeva, P.[Petia],
Sub-class Error-Correcting Output Codes,
CVS08(xx-yy).
WWW Version. 0805 BibRef
Earlier:
Decoding of Ternary Error Correcting Output Codes,
CIARP06(753-763).
WWW Version. 0611 BibRef
Earlier:
Forest Extension of Error Correcting Output Codes and Boosted Landmarks,
ICPR06(IV: 104-107).
WWW Version. 0609 BibRef

Li, J.[Jie], Wang, J.X.[Jia-Xin], Zhao, Y.[Yannan], Yang, Z.[Zehong],
Self-adaptive design of hidden Markov models,
PRL(25), No. 2, January 2004, pp. 197-210.
WWW Version. 0401 BibRef

McCane, B.[Brendan], Caelli, T.M.[Terry M.],
Diagnostic tools for evaluating and updating hidden Markov models,
PR(37), No. 7, July 2004, pp. 1325-1337.
WWW Version. 0405 BibRef
Earlier: A2, A1:
Components analysis of hidden Markov models in computer vision,
CIAP03(510-515).
IEEE Abstract. IEEE Top Reference. 0310How parameter and topology estimation contribute. BibRef

Shen, Q.[Qiang], Jensen, R.[Richard],
Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring,
PR(37), No. 7, July 2004, pp. 1351-1363.
WWW Version. 0405 BibRef

Wang, X.Y.[Xiang-Yang], Yang, J.[Jie], Teng, X.[Xiaolong], Xia, W.[Weijun], Jensen, R.[Richard],
Feature selection based on rough sets and particle swarm optimization,
PRL(28), No. 4, 1 March 2007, pp. 459-471.
WWW Version. 0701Feature selection; Rough sets; Reduct; Genetic algorithms; Particle swarm optimization; Hill-climbing method; Stochastic method BibRef

Valev, V.[Ventzeslav], Sankur, B.[Bulent],
Generalized Non-reducible Descriptors,
PR(37), No. 9, September 2004, pp. 1809-1815.
WWW Version. 0407 BibRef
Earlier: Add A2: Radeva, P.I., ICPR00(Vol II: 394-397).
WWW Version.
HTML Version. 0009 BibRef

Asaithambi, A.[Asai], Valev, V.[Ventzeslav],
Construction of all non-reducible descriptors,
PR(37), No. 9, September 2004, pp. 1817-1823.
WWW Version. 0407 BibRef

Shima, K., Todoriki, M., Suzuki, A.,
SVM-based feature selection of latent semantic features,
PRL(25), No. 9, 2 July 2004, pp. 1051-1057.
WWW Version. 0407 BibRef

Krishnapuram, B.[Balaji], Hartemink, A.J.[Alexander J.], Carin, L.[Lawrence], Figueiredo, M.A.T.[Mario A.T.],
A Bayesian Approach to Joint Feature Selection and Classifier Design,
PAMI(26), No. 9, September 2004, pp. 1105-1111.
IEEE Abstract. IEEE Top Reference. 0409Learn both optimal classifier and the subset of relevant features. BibRef

Chang, S.[Shaorong], Dasgupta, N.[Nilanjan], Carin, L.[Lawrence],
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation,
CVPR05(II: 1043-1050).
WWW Version. 0507 BibRef

Krishnapuram, B.[Balaji], Carin, L.[Lawrence], Figueiredo, M.A.T.[Mario A.T.], Hartemink, A.J.[Alexander J.],
Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds,
PAMI(27), No. 6, June 2005, pp. 957-968.
IEEE Abstract. IEEE Top Reference. 0505Sparse learning. Multiclass formulation based on regression, combine using optimization and a component update procedure. BibRef

Oh, I.S.[Il-Seok], Lee, J.S.[Jin-Seon], Moon, B.R.[Byung-Ro],
Hybrid Genetic Algorithms for Feature Selection,
PAMI(26), No. 11, November 2004, pp. 1424-1437.
IEEE Abstract. IEEE Top Reference. 0410 BibRef
Earlier:
Local search-embedded genetic algorithms for feature selection,
ICPR02(II: 148-151).
WWW Version. 0211 BibRef

Ahmad, A.[Amir], Dey, L.[Lipika],
A feature selection technique for classificatory analysis,
PRL(26), No. 1, 1 January 2005, pp. 43-56.
WWW Version. 0501 BibRef

Shih, F.Y.[Frank Y.], Cheng, S.X.[Shou-Xian],
Improved feature reduction in input and feature spaces,
PR(38), No. 5, May 2005, pp. 651-659.
WWW Version. 0501 See also improved incremental training algorithm for support vector machines using active query, An. BibRef

Hsing, T.[Tailen], Liu, L.Y.[Li-Yu], Brun, M.[Marcel], Dougherty, E.R.[Edward R.],
The coefficient of intrinsic dependence (feature selection using el CID),
PR(38), No. 5, May 2005, pp. 623-636.
WWW Version. 0501 BibRef

Silva, P.J.S.[Paulo J.S.], Hashimoto, R.F.[Ronaldo F.], Kim, S.[Seungchan], Barrera, J.[Junior], Brandão, L.O.[Leônidas O.], Suh, E.[Edward], Dougherty, E.R.[Edward R.],
Feature selection algorithms to find strong genes,
PRL(26), No. 10, 15 July 2005, pp. 1444-1453.
WWW Version. 0506 BibRef

Bhatt, R.B.[Rajen B.], Gopal, M.,
On fuzzy-rough sets approach to feature selection,
PRL(26), No. 7, 15 May 2005, pp. 965-975.
WWW Version. 0506 BibRef

Zhang, P.[Ping], Verma, B.[Brijesh], Kumar, K.[Kuldeep],
Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection,
PRL(26), No. 7, 15 May 2005, pp. 909-919.
WWW Version. 0506 BibRef

Peng, H.[Hanchuan], Long, F.[Fuhui], Ding, C.[Chris],
Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy,
PAMI(27), No. 8, August 2005, pp. 1226-1238.
IEEE Abstract. IEEE Top Reference. 0506 BibRef

Coetzee, F.M.[Frans M.],
Correcting the Kullback-Leibler distance for feature selection,
PRL(26), No. 11, August 2005, pp. 1675-1683.
WWW Version. 0506 BibRef

Mao, K.Z.,
Identifying critical variables of principal components for unsupervised feature selection,
SMC-B(35), No. 2, April 2005, pp. 339-344.
WWW Version. 0508 BibRef

Martínez-Muñoz, G.[Gonzalo], Suárez, A.[Alberto],
Switching class labels to generate classification ensembles,
PR(38), No. 10, October 2005, pp. 1483-1494.
WWW Version. 0508 BibRef

Martínez-Muñoz, G.[Gonzalo], Suárez, A.[Alberto],
Using boosting to prune bagging ensembles,
PRL(28), No. 1, 1 January 2007, pp. 156-165.
WWW Version. 0611Machine learning; Decision trees; Bagging; Boosting; Ensembles; Ensemble pruning BibRef

Brown, M., Costen, N.P.,
Exploratory basis pursuit classification,
PRL(26), No. 12, September 2005, pp. 1907-1915.
WWW Version. 0508 BibRef
Earlier:
Non-Linear Feature Selection for Classification,
BMVC04(xx-yy).
HTML Version. 0508 BibRef

Luebke, K.[Karsten], Weihs, C.[Claus],
Improving feature extraction by replacing the Fisher criterion by an upper error bound,
PR(38), No. 11, November 2005, pp. 2220-2223.
WWW Version. 0509 BibRef

Sima, C.[Chao], Attoor, S.[Sanju], Brag-Neto, U.[Ulisses], Lowey, J.[James], Suh, E.[Edward], Dougherty, E.R.[Edward R.],
Impact of error estimation on feature selection,
PR(38), No. 12, December 2005, pp. 2472-2482.
WWW Version. 0510 BibRef

Sima, C.[Chao], Dougherty, E.R.[Edward R.],
Optimal convex error estimators for classification,
PR(39), No. 9, September 2006, pp. 1763-1780.
WWW Version.
WWW Version. 0606Bootstrap; Cross-validation; Error estimation; Feature-set ranking; Optimal estimation; Resubstitution; BibRef

Wolf, L.[Lior], Shashua, A.[Amnon],
Learning over sets using kernel principal angles,
MachLearnRes(4), 2003, pp. 913-931.
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Wolf, L., Shashua, A., Mukherjee, S.,
Gene Selection via a Spectral Approach,
BioInfo05(III: 140-140).
WWW Version. 0507 BibRef

Shashua, A.[Amnon], Wolf, L.[Lior],
Kernel Feature Selection with Side Data Using a Spectral Approach,
ECCV04(Vol III: 39-53).
WWW Version. 0405 BibRef

Gasca, E., Sánchez, J.S., Alonso, R.,
Eliminating redundancy and irrelevance using a new MLP-based feature selection method,
PR(39), No. 2, February 2006, pp. 313-315.
WWW Version. 0512 BibRef

Hong, J.H.[Jin-Hyuk], Cho, S.B.[Sung-Bae],
Efficient huge-scale feature selection with speciated genetic algorithm,
PRL(27), No. 2, 15 January 2006, pp. 143-150.
WWW Version. 0512 BibRef

Nanni, L.[Loris],
Cluster-Based Pattern Discrimination: A Novel Technique for Feature Selection,
PRL(27), No. 6, 15 April 2006, pp. 682-687.
WWW Version. Feature evaluation and selection; Clustering, Ensemble of classifiers 0604 BibRef

Cord, A.[Aurélien], Ambroise, C.[Christophe], Cocquerez, J.P.[Jean-Pierre],
Feature selection in robust clustering based on Laplace mixture,
PRL(27), No. 6, 15 April 2006, pp. 627-635.
WWW Version. Clustering; Feature selection; Laplace distribution; Kruskal-Wallis statistical test; EM algorithm 0604 BibRef

Abe, N.[Naoto], Kudo, M.[Mineichi],
Non-parametric classifier-independent feature selection,
PR(39), No. 5, May 2006, pp. 737-746.
WWW Version. 0604Garbage feature; Non-parametric; Two-stage feature selection Classifier-independent feature selection; Bayes classifier; BibRef

Liu, Y.[Yi], Zheng, Y.F.[Yuan F.],
FS_SFS: A novel feature selection method for support vector machines,
PR(39), No. 7, July 2006, pp. 1333-1345.
WWW Version. 0606Sequential forward search; Support vector machines BibRef

Yang, Y.[Yan], Kamel, M.S.[Mohamed S.],
An aggregated clustering approach using multi-ant colonies algorithms,
PR(39), No. 7, July 2006, pp. 1278-1289.
WWW Version. Ant algorithm; Multi-ant colonies; Clustering; Aggregated clustering 0606 BibRef

Lee, G.N.[Gobert N.], Bottema, M.J.[Murk J.],
Significance of classification scores subsequent to feature selection,
PRL(27), No. 14, 15 October 2006, pp. 1702-1709.
WWW Version. 0609Multiple comparisons; Statistical significance; Computer-aided diagnosis BibRef

Tang, W.[Wenyin], Mao, K.Z.,
Feature selection algorithm for mixed data with both nominal and continuous features,
PRL(28), No. 5, 1 April 2007, pp. 563-571.
WWW Version. 0703Feature selection; Mixed data; Continuous feature; Nominal feature BibRef

Wang, H.Z.[Hong-Zhi], Angelopoulou, E.[Elli],
Sensor band selection for multispectral imaging via average normalized information,
RealTimeIP(1), No. 2, December 2006, pp. 109-121.
WWW Version. 0001 BibRef

Oliveira, L.S.[Luiz S.], Morita, M.[Marisa], Sabourin, R.[Robert],
Feature selection for ensembles applied to handwriting recognition,
IJDAR(8), No. 4, September 2006, pp. 262-279.
WWW Version. 0609 See also Impacts of verification on a numeral string recognition system. BibRef

Oliveira, L.S., Sabourin, R., Bortolozzi, F., Suen, C.Y.,
Feature selection for ensembles: A hierarchical multi-objective genetic algorithm approach,
ICDAR03(676-680).
IEEE Abstract. IEEE Top Reference. 0311 BibRef

Radtke, P.V.W., Sabourin, R., Wong, T.[Tong],
Intelligent feature extraction for ensemble of classifiers,
ICDAR05(II: 866-870).
WWW Version. 0508 BibRef

Radtke, P.V.W., Oliveira, L.S., Sabourin, R., Wong, T.,
Intelligent zoning design using multi-objective evolutionary algorithms,
ICDAR03(824-828).
IEEE Abstract. IEEE Top Reference. 0311 BibRef

Sun, Y.J.[Yi-Jun],
Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications,
PAMI(29), No. 6, June 2007, pp. 1035-1051.
WWW Version. 0704 See also Machine Learning Research: Four Current Directions. BibRef

Nakariyakul, S.[Songyot], Casasent, D.P.[David P.],
Adaptive branch and bound algorithm for selecting optimal features,
PRL(28), No. 12, 1 September 2007, pp. 1415-1427.
WWW Version. 0707Branch and bound algorithm; Dimensionality reduction; Feature selection; Optimal subset search BibRef

Guyon, I.[Isabelle], Li, J.W.[Ji-Wen], Mader, T.[Theodor], Pletscher, P.A.[Patrick A.], Schneider, G.[Georg], Uhr, M.[Markus],
Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark,
PRL(28), No. 12, 1 September 2007, pp. 1438-1444.
WWW Version. 0707Feature selection; Matlab; Machine learning; Classification; Challenge; Benchmark; Curriculum BibRef

Huang, J.[Jinjie], Cai, Y.[Yunze], Xu, X.M.[Xiao-Ming],
A hybrid genetic algorithm for feature selection wrapper based on mutual information,
PRL(28), No. 7, May 2007, pp. Pattern Recognition Letters, Volume 28, Issue 13, 1 October 2007, 1825-1844.
WWW Version. 0709 BibRef
Earlier:
A Wrapper for Feature Selection Based on Mutual Information,
ICPR06(II: 618-621).
WWW Version. 0609Machine learning; Hybrid genetic algorithm; Feature selection; Mutual information BibRef

Deng, Z.[Zhaohong], Chung, F.L.[Fu-Lai], Wang, S.[Shitong],
FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation,
PR(41), No. 4, April 2008, pp. 1363-1372.
WWW Version. 0801Reduced set density estimator; Minimal enclosing ball; Core-set; Data condensation BibRef

Liang, J.N.[Jian-Ning], Yang, S.[Su], Winstanley, A.[Adam],
Invariant optimal feature selection: A distance discriminant and feature ranking based solution,
PR(41), No. 5, May 2008, pp. 1429-1439.
WWW Version. 0711Optimal feature selection; Distance discriminant; Feature ranking BibRef

Yang, S.[Su], Liang, J.N.[Jian-Ning], Wang, Y.Y.[Yuan-Yuan], Winstanley, A.[Adam],
Feature Selection Based on Run Covering,
PSIVT06(208-217).
WWW Version. 0612 BibRef

Hong, Y.[Yi], Kwong, S.[Sam], Chang, Y.C.[Yu-Chou], Ren, Q.S.[Qing-Sheng],
Consensus unsupervised feature ranking from multiple views,
PRL(29), No. 5, 1 April 2008, pp. 595-602.
WWW Version. 0802Clustering; Feature ranking ensembles; Unsupervised feature selection BibRef

Hong, Y.[Yi], Kwong, S.[Sam],
To combine steady-state genetic algorithm and ensemble learning for data clustering,
PRL(29), No. 9, 1 July 2008, pp. 1416-1423.
WWW Version. 0711Clustering analysis; Ensemble learning; Genetic-guided clustering algorithms BibRef

Ke, L.J.[Liang-Jun], Feng, Z.[Zuren], Ren, Z.G.[Zhi-Gang],
An efficient ant colony optimization approach to attribute reduction in rough set theory,
PRL(29), No. 9, 1 July 2008, pp. 1351-1357.
WWW Version. 0711Ant colony optimization; Attribute reduction; Feature selection; Rough set theory BibRef

Gavrilis, D.[Dimitris], Tsoulos, I.G.[Ioannis G.], Dermatas, E.[Evangelos],
Selecting and constructing features using grammatical evolution,
PRL(29), No. 9, 1 July 2008, pp. 1358-1365.
WWW Version. 0711Keywords: Artificial neural networks; Feature selection; Feature construction; Genetic programming; Grammatical evolution BibRef

Hong, Y.[Yi], Kwong, S.[Sam], Chang, Y.C.[Yu-Chou], Ren, Q.S.[Qing-Sheng],
Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm,
PR(41), No. 9, September 2008, pp. 2742-2756.
WWW Version. 0806Clustering ensembles; Dimensionality unbiased; Population based incremental learning algorithm; Unsupervised feature selection BibRef

Akselrod-Ballin, A.[Ayelet], Ullman, S.[Shimon],
Distinctive and compact features,
IVC(26), No. 9, 1 September 2008, pp. 1269-1276.
WWW Version. 0806Feature selection; Object recognition; Distinctive features; Facial features BibRef

Eitzinger, C.[Christian], Gmainer, M.[Manfred], Heidl, W.[Wolfgang], Lughofer, E.[Edwin],
Increasing Classification Robustness with Adaptive Features,
CVS08(xx-yy).
WWW Version. 0805 BibRef

Sannen, D.[Davy], Nuttin, M.[Marnix], Smith, J.E.[James E.], Tahir, M.A.[Muhammad Atif], Caleb-Solly, P.[Praminda], Lughofer, E.[Edwin], Eitzinger, C.[Christian],
An On-Line Interactive Self-adaptive Image Classification Framework,
CVS08(xx-yy).
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Elgawi, O.H.[Osman Hassab], Hasegawa, O.[Osamu],
Online incremental random forests,
ICMV07(102-106).
WWW Version. 0712Feature selection technique. BibRef

de Stefano, C., Fontanella, F., Marrocco, C.,
A GA-Based Feature Selection Algorithm for Remote Sensing Images,
EvoIASP08(xx-yy).
WWW Version. 0804 BibRef

Liu, X.M.[Xiao-Ming], Yu, T.[Ting],
Gradient Feature Selection for Online Boosting,
ICCV07(1-8).
WWW Version. 0710 BibRef

Weinshall, D.[Daphna], Zamir, L.[Lior],
Image Classification from Small Sample, with Distance Learning and Feature Selection,
ISVC07(II: 106-115).
WWW Version. 0711 BibRef

Chang, H.Y.[Hsin-Yun], Sun, C.S.[Chung-Shan],
A Novel Hybrid Taguchi-Grey-Based Method for Feature Subset Selection,
CIARP07(457-465).
WWW Version. 0711 BibRef

Ramirez, R.[Rafael], Puiggros, M.[Montserrat],
A Genetic Programming Approach to Feature Selection and Classification of Instantaneous Cognitive States,
EvoIASP07(311-319).
WWW Version. 0704 BibRef

Novovic(ová, J.[Jana], Somol, P.[Petr], Haindl, M.[Michal], Pudil, P.[Pavel],
Conditional Mutual Information Based Feature Selection for Classification Task,
CIARP07(417-426).
WWW Version. 0711 BibRef

Veljkovic, D.[Dragana], Robbins, K.A.[Kay A.], Rubino, D.[Doug], Hatsopoulos, N.G.[Nicholas G.],
Extension of Mutual Subspace Method for Low Dimensional Feature Projection,
ICIP07(II: 449-452).
WWW Version. 0709 BibRef

Sánchez, L.[Luis], Martínez, F.[Fernando], Castellanos, G.[Germán], Salazar, A.[Augusto],
Feature Extraction of Weighted Data for Implicit Variable Selection,
CAIP07(840-847).
WWW Version. 0708 BibRef

Aldape-Pérez, M.[Mario], Yáñez-Márquez, C.[Cornelio], Argüelles-Cruz, A.J.[Amadeo José],
Optimized Associative Memories for Feature Selection,
IbPRIA07(I: 435-442).
WWW Version. 0706 BibRef

Ponsa, D.[Daniel], López, A.[Antonio],
Feature Selection Based on a New Formulation of the Minimal-Redundancy-Maximal-Relevance Criterion,
IbPRIA07(I: 47-54).
WWW Version. 0706 BibRef

Dollar, P.[Piotr], Tu, Z.W.[Zhuo-Wen], Tao, H.[Hai], Belongie, S.[Serge],
Feature Mining for Image Classification,
CVPR07(1-8).
WWW Version. 0706 BibRef

Zhao, D.[Deli], Lin, Z.C.[Zhou-Chen], Xiao, R.[Rong], Tang, X.[Xiaoou],
Linear Laplacian Discrimination for Feature Extraction,
CVPR07(1-7).
WWW Version. 0706 BibRef

Reyes, M.M.[Miguel Mendoza], Lorenzo-Ginori, J.V.[Juan V.], Taboada-Crispí, A., Carvajal, Y.L.[Yakelin Luna],
System Classification by Using Discriminant Functions of Time-Frequency Features,
CIARP06(920-928).
WWW Version. 0611 BibRef

Medina-Pérez, M.A.[Miguel Angel], García-Borroto, M.[Milton], Ruiz-Shulcloper, J.[José],
Object Selection Based on Subclass Error Correcting for ALVOT,
CIARP07(496-505).
WWW Version. 0711 BibRef

Medina-Pérez, M.A.[Miguel Angel], García-Borroto, M.[Milton], Villuendas-Rey, Y.[Yenny], Ruiz-Shulcloper, J.[José],
Selecting Objects for ALVOT,
CIARP06(606-613).
WWW Version. 0611Objectes described by non-numeric features. BibRef

Villuendas-Rey, Y.[Yenny], García-Borroto, M.[Milton], Medina-Pérez, M.A.[Miguel A.], Ruiz-Shulcloper, J.[José],
Simultaneous Features and Objects Selection for Mixed and Incomplete Data,
CIARP06(597-605).
WWW Version. 0611for the Most Similar Neighbor classifier. BibRef

Haindl, M.[Michal], Somol, P.[Petr], Ververidis, D.[Dimitrios], Kotropoulos, C.[Constantine],
Feature Selection Based on Mutual Correlation,
CIARP06(569-577).
WWW Version. 0611 BibRef

Bello, R.[Rafael], Puris, A.[Amilkar], Nowe, A.[Ann], Martínez, Y.[Yailen], García, M.M.[María M.],
Two Step Ant Colony System to Solve the Feature Selection Problem,
CIARP06(588-596).
WWW Version. 0611 BibRef

Sagheer, A.[Alaa], Tsuruta, N.[Naoyuki], Taniguchi, R.I.[Rin-Ichiro], Arita, D.[Daisaku], Maeda, S.[Sakashi],
Fast Feature Extraction Approach for Multi-Dimension Feature Space Problems,
ICPR06(III: 417-420).
WWW Version. 0609 BibRef

Frintrop, S.[Simone], Jensfelt, P.[Patric], Christensen, H.I.[Henrik I.],
Pay Attention When Selecting Features,
ICPR06(II: 163-166).
WWW Version. 0609 BibRef

Li, Y.[Yun], Lu, B.L.[Bao-Liang], Wu, Z.F.[Zhong-Fu],
A Hybrid Method of Unsupervised Feature Selection Based on Ranking,
ICPR06(II: 687-690).
WWW Version. 0609 BibRef

Krížek, P.[Pavel], Kittler, J.V.[Josef V.], Hlavác, V.[Václav],
Improving Stability of Feature Selection Methods,
CAIP07(929-936).
WWW Version. 0708 BibRef

Krizek, P.[Pavel], Kittler, J.V.[Josef V.], Hlavac, V.[Vaclav],
Feature selection based on the training set manipulation,
ICPR06(II: 658-661).
WWW Version. 0609 BibRef

Franceschi, E., Odone, F., Smeraldi, F., Verri, A.,
Feature Selection with Nonparametric Statistics,
ICIP05(I: 325-328).
WWW Version. 0512 BibRef

Yoon, S.[Sangho], Gray, R.M.,
Feature Selection Based on Maximizing Separability in Gauss Mixture Model and its Application to Image Classification,
ICIP05(II: 1198-1201).
WWW Version. 0512 BibRef

Le Saux, B.[Bertrand], Bunke, H.[Horst],
Feature Selection for Graph-Based Image Classifiers,
IbPRIA05(II:147).
WWW Version. 0509 BibRef

Binaghi, E.[Elisabetta], Gallo, I.[Ignazio], Boschetti, M.[Mirco], Brivio, P.A.[P. Alessandro],
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data,
CIAP05(753-760).
WWW Version. 0509 BibRef

Neumann, J.[Julia], Schnörr, C.[Christoph], Steidl, G.[Gabriele],
SVM-Based Feature Selection by Direct Objective Minimisation,
DAGM04(212-219).
WWW Version. 0505 BibRef

Yan, Z.[Zhong], Yuan, C.[Chunwei],
Ant Colony Optimization for Feature Selection in Face Recognition,
ICBA04(221-226).
WWW Version. 0505 BibRef

Bradley, A.P., Longstaff, I.D.,
Sample size estimation using the receiver operating characteristic curve,
ICPR04(IV: 428-431).
WWW Version. 0409 BibRef

Xu, Q.R.[Qian-Ren], Kamel, M., Salama, M.M.A.,
Significance Test for Feature Subset Selection on Image Recognition,
ICIAR04(I: 244-252).
WWW Version. 0409 BibRef

Wang, Q.H.[Qing-Hua], Lopes, L.S.[Luís Seabra], Tax, D.M.J.[David M.J.],
Visual Object Recognition Through One-Class Learning,
ICIAR04(I: 463-470).
WWW Version. 0409 BibRef

Tax, D.M.J., Muller, K.R.,
A consistency-based model selection for one-class classification,
ICPR04(III: 363-366).
WWW Version. 0409 BibRef

Hu, J.Y.[Jian-Ying], Ratzlaff, E.,
Probability table compression using distributional clustering for scanning N-tuple classifiers,
ICPR04(II: 533-536).
WWW Version. 0409 BibRef

Markou, M., Singh, S.,
Feature selection based on a black hole model of data reorganization,
ICPR04(IV: 565-568).
WWW Version. 0409 BibRef

Singh, S., Singh, M., Markou, M.,
Feature selection for face recognition based on data partitioning,
ICPR02(I: 680-683).
WWW Version. 0211 BibRef

Farmer, M.E., Bapna, S., Jain, A.K.,
Large scale feature selection using modified random mutation hill climbing,
ICPR04(II: 287-290).
WWW Version. 0409 BibRef

Washizawa, Y.[Yoshikazu], Yamashita, Y.[Yukihiko],
Non-linear Wiener filter in reproducing kernel Hilbert space,
ICPR06(I: 967-970).
WWW Version. 0609 BibRef
Earlier:
Kernel sample space projection classifier for pattern recognition,
ICPR04(II: 435-438).
WWW Version. 0409 BibRef

Wu, Y.M.[Yi-Min], Zhang, A.D.[Ai-Dong],
Feature selection for classifying high-dimensional numerical data,
CVPR04(II: 251-258).
IEEE Abstract. IEEE Top Reference. 0408 BibRef

Azhar, H.B.[Hannan Bin], Dimond, K.[Keith],
A Stochastic Search Algorithm to Optimize an N-tuple Classifier by Selecting Its Inputs,
ICIAR04(I: 556-563).
WWW Version. 0409 BibRef

Xie, L.[Lexing], Chang, S.F.[Shih-Fu], Divakaran, A., Sun, H.F.[Hui-Fang],
Feature selection for unsupervised discovery of statistical temporal structures in video,
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