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

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

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

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

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.
WWW Version. 0202
BibRef
And: Correction: PAMI(24), No. 6, June 2002, pp. 721.
IEEE Abstract.
WWW Version. 0206
Feature 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

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

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).
Springer DOI Link 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.H.[Chul-Hee],
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).
IEEE DOI Link
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. 0711
BibRef
And:
Feature selection for clustering with constraints using Jensen-Shannon divergence,
ICPR08(1-4).
IEEE DOI Link 0812
Clustering; Unsupervised learning; Feature selection; Scatter separability BibRef

Li, Y.H.[Yuan-Hong], Dong, M.[Ming], Hua, J.[Jing],
Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures,
PAMI(31), No. 5, May 2009, pp. 953-960.
IEEE DOI Link 0903
BibRef
Earlier:
Localized feature selection for Gaussian mixtures using variational learning,
ICPR08(1-4).
IEEE DOI Link 0812
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. 0310
Parzen 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. 0310
Feature 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.
IEEE DOI Link 0605
Applied to traffic signs. BibRef

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

Pujol, O.[Oriol], Escalera, S.[Sergio], Radeva, P.[Petia],
An incremental node embedding technique for error correcting output codes,
PR(41), No. 2, February 2008, pp. 713-725.
WWW Version. 0711
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And: A2, A1, A3:
Error-Correcting output coding for chagasic patients characterization,
ICPR08(1-4).
IEEE DOI Link 0812
Multiclass classification; Error correcting output codes; Ensemble of dichotomizers; Codeword design; One-versus-one; One-versus-all 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.
IEEE DOI Link 0804
BibRef

Escalera, S.[Sergio], Pujol, O.[Oriol], Radeva, P.[Petia],
Separability of ternary codes for sparse designs of error-correcting output codes,
PRL(30), No. 3, 1 February 2009, pp. 285-297.
Elsevier DOI Link
WWW Version. 0804
Error-correcting output codes; Embedding of dichotomizers; Sparse random designs 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], Pujola, O.[Oriol], Mauri, J.[Josepa], Radeva, P.[Petia],
IVUS tissue characterization with sub-class error-correcting output codes,
MMBIA08(1-8).
IEEE DOI Link 0806
BibRef

Escalera, S.[Sergio], Pujol, O.[Oriol], Radeva, P.[Petia],
Separability of ternary Error-Correcting Output Codes,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef
And:
Sub-class Error-Correcting Output Codes,
CVS08(xx-yy).
Springer DOI Link 0805
BibRef
Earlier:
Decoding of Ternary Error Correcting Output Codes,
CIARP06(753-763).
Springer DOI Link 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
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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. 0310
How parameter and topology estimation contribute. BibRef

Shen, Q.A.[Qi-Ang], 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
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Wang, X.Y.[Xiang-Yang], Yang, J.[Jie], Teng, X.[Xiaolong], Xia, W.J.[Wei-Jun], 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. 0701
Feature 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).
IEEE DOI Link
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
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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. 0409
Learn 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).
IEEE DOI Link 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. 0505
Sparse learning. Multiclass formulation based on regression, combine using optimization and a component update procedure. 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

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. 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.
IEEE DOI Link 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. 0611
Machine 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.N.[Sanju N.], 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. 0606
Bootstrap; Cross-validation; Error estimation; Feature-set ranking; Optimal estimation; Resubstitution; BibRef

Sima, C.[Chao], Dougherty, E.R.[Edward R.],
The peaking phenomenon in the presence of feature-selection,
PRL(29), No. 11, 1 August 2008, pp. 1667-1674.
WWW Version. 0804
Classification; Feature-selection; Peaking phenomenon 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. 0604
Garbage feature; Non-parametric; Two-stage feature selection Classifier-independent feature selection; Bayes classifier; BibRef

Tenmoto, H.[Hiroshi], Kudo, M.[Mineichi],
Soft Feature Selection by Using a Histogram-Based Classifier,
SSPR08(572-581).
Springer DOI Link 0812
BibRef

Aoki, K.[Kazuaki], Kudo, M.[Mineichi],
Feature and Classifier Selection in Class Decision Trees,
SSPR08(562-571).
Springer DOI Link 0812
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. 0609
Multiple comparisons; Statistical significance; Computer-aided diagnosis BibRef

Tang, W.Y.[Wen-Yin], 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. 0703
Feature 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.
Springer DOI Link 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.
Springer DOI Link 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. 0311
BibRef

Radtke, P.V.W., Sabourin, R., Wong, T.[Tong],
Intelligent feature extraction for ensemble of classifiers,
ICDAR05(II: 866-870).
IEEE DOI Link 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. 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.
IEEE DOI Link 0704
See also Machine Learning Research: Four Current Directions. 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. 0707
Feature selection; Matlab; Machine learning; Classification; Challenge; Benchmark; Curriculum BibRef

Huang, J.J.[Jin-Jie], 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. 0609
Machine learning; Hybrid genetic algorithm; Feature selection; Mutual information BibRef

Deng, Z.H.[Zhao-Hong], Chung, F.L.[Fu-Lai], Wang, S.T.[Shi-Tong],
FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation,
PR(41), No. 4, April 2008, pp. 1363-1372.
WWW Version. 0801
Reduced 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. 0711
Optimal 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).
Springer DOI Link 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. 0802
Clustering; 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. 0711
Clustering analysis; Ensemble learning; Genetic-guided clustering algorithms 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. 0806
Clustering ensembles; Dimensionality unbiased; Population based incremental learning algorithm; Unsupervised feature selection BibRef

Hong, Y.[Yi], Kwong, S.[Sam], Wang, H.[Hanli], Ren, Q.S.[Qing-Sheng],
Resampling-based selective clustering ensembles,
PRL(30), No. 3, 1 February 2009, pp. 298-305.
Elsevier DOI Link
WWW Version. 0804
Clustering analysis; Clustering ensembles; Resampling technique BibRef

Ke, L.J.[Liang-Jun], Feng, Z.R.[Zu-Ren], 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. 0711
Ant 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. 0711
Keywords: Artificial neural networks; Feature selection; Feature construction; Genetic programming; Grammatical evolution BibRef

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

Li, B.[Bo], Huang, D.S.[De-Shuang], Wang, C.[Chao], Liu, K.H.[Kun-Hong],
Feature extraction using constrained maximum variance mapping,
PR(41), No. 11, November 2008, pp. 3287-3294.
WWW Version. 0808
Multi-manifolds learning; Feature extraction; LDA; MVP; LPP; UDP; Subspace BibRef

Feng, G.Y.[Gui-Yu], Zhang, D.[David], Yang, J.[Jian], Hu, D.[Dewen],
A Theoretical Framework For Matrix-based Feature Extraction Algorithms With Its Application To Image Recognition,
IJIG(8), No. 1, January 2008, pp. 1-23. 0801
BibRef

Ng, W.W.Y.[Wing W.Y.], Yeung, D.S.[Daniel S.], Firth, M.[Michael], Tsang, E.C.C.[Eric C.C.], Wang, X.Z.[Xi-Zhao],
Feature selection using localized generalization error for supervised classification problems using RBFNN,
PR(41), No. 12, December 2008, pp. 3706-3719.
WWW Version. 0810
Feature selection; Neural network; Generalization error; RBFNN BibRef

Zeng, H.[Hong], Cheung, Y.M.[Yiu-Ming],
A new feature selection method for Gaussian mixture clustering,
PR(42), No. 2, February 2009, pp. 243-250.
WWW Version. 0810
Gaussian mixture; Clustering; Feature selection; Relevance; Redundance BibRef

Paskaleva, B., Hayat, M.M.[Majeed M.], Wang, Z., Tyo, J.S.[J. Scott], Krishna, S.,
Canonical Correlation Feature Selection for Sensors With Overlapping Bands: Theory and Application,
GeoRS(46), No. 10, October 2008, pp. 3346-3358.
IEEE DOI Link 0810
Specific to issues of overlapping bands. BibRef

Parthalain, N.M.[Neil Mac], Shen, Q.A.[Qi-Ang],
Exploring the boundary region of tolerance rough sets for feature selection,
PR(42), No. 5, May 2009, pp. 655-667.
Elsevier DOI Link
WWW Version. 0902
Feature selection; Attribute reduction; Rough sets; Classification BibRef

Liu, H.W.[Hua-Wen], Sun, J.G.[Ji-Gui], Liuand, L.[Lei], Zhang, H.J.[Hui-Jie],
Feature selection with dynamic mutual information,
PR(42), No. 7, July 2009, pp. 1330-1339.
Elsevier DOI Link
WWW Version. 0903
Classification; Feature selection; Mutual information; Filter method BibRef

Garcia, H.C.[Hugo C.], Villalobos, J.R.[Jesus Rene], Pan, R.[Rong], Runger, G.C.[George C.],
A Novel Feature Selection Methodology for Automated Inspection Systems,
PAMI(31), No. 7, July 2009, pp. 1338-1344.
IEEE DOI Link 0905
Stepwise variable selection procedure using misclassification error. BibRef

Zhang, W.[Wei], Lin, Z.C.[Zhou-Chen], Tang, X.[Xiaoou],
Tensor linear Laplacian discrimination (TLLD) for feature extraction,
PR(42), No. 9, September 2009, pp. 1941-1948.
Elsevier DOI Link
WWW Version. 0905
Discriminant feature extraction; Tensor; Contextual distance BibRef

Zhao, D.L.[De-Li], Lin, Z.C.[Zhou-Chen], Xiao, R.[Rong], Tang, X.[Xiaoou],
Linear Laplacian Discrimination for Feature Extraction,
CVPR07(1-7).
IEEE DOI Link 0706
BibRef

Sun, Y.[Yi], Gonzalez Castellano, C.[Cristina], Robinson, M.[Mark], Adams, R.[Rod], Rust, A.G.[Alistair G.], Davey, N.[Neil],
Using pre and post-processing methods to improve binding site predictions,
PR(42), No. 9, September 2009, pp. 1949-1958.
Elsevier DOI Link
WWW Version. 0905
Feature selection; Tomek link; Filters; Support vector machines; Transcription factors BibRef

Fu, Z.Y.[Zhou-Yu], Robles-Kelly, A.[Antonio],
Fast multiple instance learning via L1,2 logistic regression,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Krasotkina, O., Mottl, V.,
Adaptive nonstationary regression analysis,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Wang, Q.[Quan], You, S.[Suya],
Feature selection for real-time image matching systems,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Hidaka, A.[Akinori], Kurita, T.[Takio],
Non-Neighboring Rectangular Feature selection using Particle Swarm Optimization,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Springer, C.[Clayton], Kegelmeyer, W.P.[W. Philip],
Feature selection via decision tree surrogate splits,
ICPR08(1-5).
IEEE DOI Link 0812
BibRef

Tsuchiya, M.[Masamitsu], Fujiyoshi, H.[Hironobu],
A method of feature selection using contribution ratio based on boosting,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Wang, S.Y.[Sui-Yu], Baird, H.S.[Henry S.],
Feature selection focused within error clusters,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Somol, P.[Petr], Novovicová, J.[Jana],
Evaluating the Stability of Feature Selectors That Optimize Feature Subset Cardinality,
SSPR08(956-966).
Springer DOI Link 0812
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).
Springer DOI Link 0711
BibRef

Liu, D.[David], Hua, G.[Gang], Viola, P.[Paul], Chen, T.H.[Tsu-Han],
Integrated feature selection and higher-order spatial feature extraction for object categorization,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

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

Elgawi, O.H.[Osman Hassab],
Online random forests based on CorrFS and CorrBE,
Learning08(1-7).
IEEE DOI Link 0806
BibRef

Elgawi, O.H.[Osman Hassab], Hasegawa, O.[Osamu],
Online incremental random forests,
ICMV07(102-106).
IEEE DOI Link 0712
Feature selection technique. BibRef

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

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

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

Ramirez, R.[Rafael], Puiggros, M.[Montserrat],
A Genetic Programming Approach to Feature Selection and Classification of Instantaneous Cognitive States,
EvoIASP07(311-319).
Springer DOI Link 0704
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).
IEEE DOI Link 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).
Springer DOI Link 0708
BibRef

Arguelles-Cruz, A.J.[Amadeo José], López-Yáñez, I.[Itzamá], Aldape-Pérez, M.[Mario], Conde-Gaxiola, N.[Napoleón],
Alpha-Beta Weightless Neural Networks,
CIARP08(496-503).
Springer DOI Link 0809
BibRef

Aldape-Pérez, M.[Mario], Román-Godínez, I.[Israel], Camacho-Nieto, O.[Oscar],
Thresholded Learning Matrix for Efficient Pattern Recalling,
CIARP08(445-452).
Springer DOI Link 0809
BibRef

Aldape-Pérez, M.[Mario], Yáñez-Márquez, C.[Cornelio], Argüelles-Cruz, A.J.[Amadeo José],
FPGA Implementation of Parallel Alpha-Beta Associative Memories,
ICIAR08(xx-yy).
Springer DOI Link 0806
BibRef
Earlier:
Optimized Associative Memories for Feature Selection,
IbPRIA07(I: 435-442).
Springer DOI Link 0706
BibRef

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

Dollar, P.[Piotr], Tu, Z.W.[Zhuo-Wen], Tao, H.[Hai], Belongie, S.[Serge],
Feature Mining for Image Classification,
CVPR07(1-8).
IEEE DOI Link 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).
Springer DOI Link 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).
Springer DOI Link 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).
Springer DOI Link 0611
Objectes described by non-numeric features. BibRef

Villuendas-Rey, Y.[Yenny], García-Borroto, M.[Milton], Ruiz-Shulcloper, J.[José],
Selecting Features and Objects for Mixed and Incomplete Data,
CIARP08(381-388).
Springer DOI Link 0809
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).
Springer DOI Link 0611
for 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).
Springer DOI Link 0611
BibRef

Bello, R.[Rafael], Puris, A.[Amilkar], Falcón, R.[Rafael], Gómez, Y.[Yudel],
Feature Selection through Dynamic Mesh Optimization,
CIARP08(348-355).
Springer DOI Link 0809
BibRef

Puris, A.[Amilkar], Bello, R.[Rafael], Trujillo, Y.[Yaima], Nowe, A.[Ann], Martínez, Y.[Yailen],
Two-Stage ACO to Solve the Job Shop Scheduling Problem,
CIARP07(447-456).
Springer DOI Link 0711
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).
Springer DOI Link 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.,
The high repeatability of salient regions,
ViA08(xx-yy). 0810
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).
Springer DOI Link 0708
BibRef

Krizek, P.[Pavel], Kittler, J.V.[Josef V.], Hlavac, V.[Vaclav],
Feature condensing algorithm for feature selection,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef
Earlier:
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).
IEEE DOI Link 0512
BibRef

Yoon, S.H.[Sang-Ho], Gray, R.M.,
Feature Selection Based on Maximizing Separability in Gauss Mixture Model and its Application to Image Classification,
ICIP05(II: 1198-1201).
IEEE DOI Link 0512
BibRef

Le Saux, B.[Bertrand], Bunke, H.[Horst],
Feature Selection for Graph-Based Image Classifiers,
IbPRIA05(II:147).
Springer DOI Link 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).
Springer DOI Link 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).
IEEE DOI Link 0409
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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
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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
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Tax, D.M.J., Muller, K.R.,
A consistency-based model selection for one-class classification,
ICPR04(III: 363-366).
IEEE DOI Link 0409
BibRef

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

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

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

Farmer, M.E., Bapna, S., Jain, A.K.,
Large scale feature selection using modified random mutation hill climbing,
ICPR04(II: 287-290).
IEEE DOI Link 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).
IEEE DOI Link 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. 0408
BibRef

Xie, L.X.[Le-Xing], Chang, S.F.[Shih-Fu], Divakaran, A., Sun, H.F.[Hui-Fang],
Feature selection for unsupervised discovery of statistical temporal structures in video,
ICIP03(I: 29-32).
IEEE Abstract. 0312
BibRef

Li, J.M.[Jian-Min], Mang, B.[Bo], Lin, F.[Fuzong],
A new strategy for selecting working sets applied in SMO,
ICPR02(III: 427-430).
IEEE DOI Link 0211
BibRef

Torkkola, K.,
Learning feature transforms is an easier problem than feature selection,
ICPR02(II: 104-107).
IEEE DOI Link 0211
BibRef

Al-Ani, A., Deriche, M.,
Feature selection using a mutual information based measure,