14.1.4.1 Sample Sizes Issues, Data analysis, Training Sets

Chapter Contents (Back)
Evaluation, Samples. 9805

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Effects of Sample Size in Classifier Design,
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Raudys, S.J., and Jain, A.K.,
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Small sample size effects in statistical pattern recognition: recommendations for practitioners and open problems,
ICPR90(I: 417-423).
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Wong, A.K.C., and Chiu, D.K.Y.,
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Ibrahim, J.,
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Benali, H., Buvat, I., Frouin, F., Bazin, J.P., di Paola, R.,
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Castelli, V., Cover, T.M.,
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Jain, A.K.[Anil K.], Zongker, D.[Douglas],
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WWW Version. 9703Sequential Forward Floating Selection algorithm ( See also Floating Search Methods in Feature-Selection. ) dominates other tested algorithms. Applied with 4 texture models on SAR. BibRef

Zongker, D., Jain, A.K.,
Algorithms for Feature Selection: An Evaluation,
ICPR96(II: 18-22).
WWW Version. 9608(Michigan State Univ., USA) BibRef

Raudys, S.J.[Sarunas J.],
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PAMI(19), No. 6, June 1997, pp. 667-671.
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Earlier:
Linear Classifiers in Perceptron Design,
ICPR96(IV: 763-767).
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Tseng, C.H.,
Identification of Cubically Nonlinear Systems Using Undersampled Data,
VISP(144), No. 5, October 1997, pp. 267-277. 9806 BibRef

Hodgson, M.E.,
What Size Window for Image Classification: A Cognitive Perspective,
PhEngRS(64), No. 8, August 1998, pp. 797-807. 9808 BibRef

Guyon, I.[Isabelle], Makhoul, J.[John], Schwartz, R.[Richard], Vapnik, V.[Vladimir],
What Size Test Set Gives Good Error Rate Estimates?,
PAMI(20), No. 1, January 1998, pp. 52-64.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9803 OCR. Applied to the character recognition problem. BibRef

Avena, G.C., Ricotta, C., Volpe, F.,
The influence of principal component analysis on the spatial structure of a multispectral dataset,
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Sitek, A., Gullberg, G.T., Huesman, R.H.,
Correction for ambiguous solutions in factor analysis using a penalized least squares objective,
MedImg(21), No. 3, March 2002, pp. 216-225.
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Ennaji, A.[Abdellatif], Ribert, A.[Arnaud], Lecourtier, Y.[Yves],
From data topology to a modular classifier,
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Ribert, A., Ennaji, A., Lecourtier, Y.,
Clustering Data: Dealing with High Density Variations,
ICPR00(Vol II: 736-739).
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Stocker, E., Ribert, A., Lecourtier, Y., Ennaji, A.,
Incremental Distributed Classifier Building,
ICPR96(IV: 128-132).
WWW Version. 9608(Univ. de Rouen, F) BibRef

Liu, Z.Y., Chiu, K.C., Xu, L.,
Investigations on Non-Gaussian Factor Analysis,
SPLetters(11), No. 7, July 2004, pp. 597-600.
IEEE Abstract. IEEE Top Reference. 0407 BibRef

Wang, Y.[Ye], Huang, S.T.[Shang-Teng],
Training TSVM with the proper number of positive samples,
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WWW Version. 0510Transductive Support Vector Machine. BibRef

Knijnenburg, T.A.[Theo A.], Reinders, M.J.T.[Marcel J.T.], Wessels, L.F.A.[Lodewyk F.A.],
Artifacts of Markov blanket filtering based on discretized features in small sample size applications,
PRL(27), No. 7, May 2006, pp. 709-714.
WWW Version. 0604Feature evaluation and selection BibRef

Lai, C.[Carmen], Reinders, M.J.T.[Marcel J.T.], Wessels, L.F.A.[Lodewyk F.A.],
Random subspace method for multivariate feature selection,
PRL(27), No. 10, 15 July 2006, pp. 1067-1076.
WWW Version. 0606Random subspace method; Small sample size problem BibRef

Li, Y.L.[Yun-Lei], Wessels, L.F.A.[Lodewyk F.A.], de Ridder, D.[Dick], Reinders, M.J.T.[Marcel J.T.],
Classification in the presence of class noise using a probabilistic Kernel Fisher method,
PR(40), No. 12, December 2007, pp. 3349-3357.
WWW Version. 0709 BibRef
And: Erratum: PR(41), No. 3, March 2008, pp. 1214.
WWW Version. 0711Classification; Class noise; Labeling noise; Kernel Fisher discriminant BibRef

Liang, Y.[Yixiong], Li, C.R.[Cheng-Rong], Gong, W.G.[Wei-Guo], Pan, Y.J.[Ying-Jun],
Uncorrelated linear discriminant analysis based on weighted pairwise Fisher criterion,
PR(40), No. 12, December 2007, pp. 3606-3615.
WWW Version. 0709Uncorrelated LDA; Null space LDA; Weighted pairwise Fisher criterion; Decorrelation BibRef

Lu, J.[Juwei], Plataniotis, K.N., Venetsanopoulos, A.N., Wang, J.[Jie],
An efficient kernel discriminant analysis method,
PR(38), No. 10, October 2005, pp. 1788-1790.
WWW Version. 0508 BibRef

Wang, J.[Jie], Plataniotis, K.N., Lu, J.[Juwei], Venetsanopoulos, A.N.,
Kernel quadratic discriminant analysis for small sample size problem,
PR(41), No. 5, May 2008, pp. 1545-1555.
WWW Version. 0711Linear discriminant analysis; Quadratic discriminant analysis; Small sample size; Kernel machine technique BibRef


Olvera-López, J.A.[J. Arturo], Martínez-Trinidad, J.F.[J. Francisco], Carrasco-Ochoa, J.A.[J. Ariel],
Mixed Data Object Selection Based on Clustering and Border Objects,
CIARP07(674-683).
WWW Version. 0711Instance selection. BibRef

Sanchez-Díaz, G.[Guillermo], Lazo-Cortés, M.[Manuel],
CT-EXT: An Algorithm for Computing Typical Testor Set,
CIARP07(506-514).
WWW Version. 0711 BibRef

Morales-Manilla, L.R.[Luis Roberto], Sanchez-Diaz, G.[Guillermo],
FS-EX Plus: A New Algorithm for the Calculation of Typical FS-Testor Set,
CIARP07(380-386).
WWW Version. 0711Feature Selection. BibRef

Zheng, Y.J.[Yu-Jie], Yang, J.Y.[Jing-Yu], Yang, J.[Jian], Wu, X.J.[Xiao-Jun],
Effective classification image space which can solve small sample size problem,
ICPR06(II: 861-864).
WWW Version. 0609 BibRef

Ong, E.J.[Eng-Jon], Bowden, R.[Richard],
Learning Wormholes for Sparsely Labelled Clustering,
ICPR06(I: 916-919).
WWW Version. 0609 BibRef

Zhang, R.[Rong], Rudnicky, A.I.[Alexander I.],
A New Data Selection Principle for Semi-Supervised Incremental Learning,
ICPR06(II: 780-783).
WWW Version. 0609 BibRef

Pranckeviciene, E.[Erinija], Ho, T.K.[Tin Kam], Somorjai, R.[Ray],
Class Separability in Spaces Reduced By Feature Selection,
ICPR06(III: 254-257).
WWW Version. 0609 BibRef

Zhu, X.Q.[Xing-Quan], Wu, X.D.[Xin-Dong],
Scalable Representative Instance Selection and Ranking,
ICPR06(III: 352-355).
WWW Version. 0609 BibRef

Xuan, G.R.[Guo-Rong], Zhu, X.M.[Xiu-Ming], Chai, P.Q.[Pei-Qi], Zhang, Z.P.[Zhen-Ping], Shi, Y.Q.[Yun Q.], Fu, D.D.[Dong-Dong],
Feature Selection based on the Bhattacharyya Distance,
ICPR06(III: 1232-1235).
WWW Version. 0609 BibRef
And: ICPR06(IV: 957).
WWW Version. 0609 BibRef

Levi, K.[Kobi], Fink, M.[Michael], Weiss, Y.[Yair],
Learning From a Small Number of Training Examples by Exploiting Object Categories,
LCV04(96).
WWW Version. 0406 BibRef

Ulusoy, I.[Ilkay], Bishop, C.M.[Christopher M.],
Comparison of Generative and Discriminative Techniques for Object Detection and Classification,
CLOR06(173-195).
WWW Version. 0711 BibRef
Earlier:
Generative versus Discriminative Methods for Object Recognition,
CVPR05(II: 258-265).
WWW Version. 0507 BibRef

Salah, A.A., Alpaydin, E.,
Incremental mixtures of factor analysers,
ICPR04(I: 276-279).
WWW Version. 0409 BibRef

Huang, R.[Rui], Liu, Q.S.[Qing-Shan], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
Solving the small sample size problem of LDAf,
ICPR02(III: 29-32).
WWW Version. 0211 BibRef

Duin, R.P.W.[Robert P.W.],
Relational Discriminant Analysis and its Large Sample Size Problem,
ICPR98(Vol I: 445-449).
WWW Version. 9808 BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Classifier, Performance Evaluation, Errors, Comparisons .


Last update:Sep 2, 2008 at 17:29:35