Fukunaga, K., and
Hayes, R.R.,
Effects of Sample Size in Classifier Design,
PAMI(11), No. 8, August 1989, pp. 873-885.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
8908
Raudys, S.J., and
Jain, A.K.,
Small Sample Size Effects in Statistical Pattern Recognition:
Recommendations for Practitioners,
PAMI(13), No. 3, March 1991, pp. 252-264.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9103
Earlier:
Small sample size effects in statistical pattern recognition:
recommendations for practitioners and open problems,
ICPR90(I: 417-423).
WWW Version.
9006
BibRef
Wong, A.K.C., and
Chiu, D.K.Y.,
Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data,
PAMI(9), No. 6, November 1987, pp. 796-805.
BibRef
8711
Chiu, D.K.Y.,
Wong, A.K.C., and
Chan, K.C.C.,
Synthesis of Statistical Knowledge from Time-Dependent Data,
PAMI(13), No. 3, March 1991, pp. 265-271.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9103
Chan, S.C.,
Wong, A.K.C.,
Synthesis and recognition of sequences,
PAMI(13), No. 12, December 1991, pp. 1245-1255.
IEEE Abstract. IEEE Top Reference.
WWW Version.
0401
BibRef
Ibrahim, J.,
Incomplete Data in Generalized Linear Models,
ASAJ(85), 1990, pp. 765-769.
BibRef
9000
Krishnan, T.,
Nandy, S.C.,
Efficiency of discriminant analysis when initial samples are classified
stochastically,
PR(23), No. 5, 1990, pp. 529-537.
WWW Version.
0401
BibRef
Benali, H.,
Buvat, I.,
Frouin, F.,
Bazin, J.P.,
di Paola, R.,
Foundations of Factor Analysis of Medical Image Sequences:
A Unified Approach and Some Practical Implications,
IVC(12), No. 6, July-August 1994, pp. 375-385.
WWW Version.
0401
BibRef
Castelli, V.,
Cover, T.M.,
The Relative Value of Labeled and Unlabeled Samples in
Pattern-Recognition with an Unknown Mixing Parameter,
IT(42), No. 6, Part 2, November 1996, pp. 2102-2117.
9701
BibRef
Jain, A.K.[Anil K.],
Zongker, D.[Douglas],
Feature-Selection:
Evaluation, Application, and Small Sample Performance,
PAMI(19), No. 2, February 1997, pp. 153-158.
IEEE Abstract. IEEE Top Reference.
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.],
Dimensionality, Sample-Size, and Classification Error of
Nonparametric Linear Classification Algorithms,
PAMI(19), No. 6, June 1997, pp. 667-671.
IEEE Abstract. IEEE Top Reference.
WWW Version.
9708
BibRef
Earlier:
Linear Classifiers in Perceptron Design,
ICPR96(IV: 763-767).
WWW Version.
9608(Institute of Mathematics and Informatics, LIT)
BibRef
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,
JRS(20), No. 17, November 1999, pp. 3367.
BibRef
9911
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.
IEEE Top Reference.
0205
BibRef
Ennaji, A.[Abdellatif],
Ribert, A.[Arnaud],
Lecourtier, Y.[Yves],
From data topology to a modular classifier,
IJDAR(6), No. 1, 2003, pp. 1-9.
HTML Version.
0308
BibRef
Ribert, A.,
Ennaji, A.,
Lecourtier, Y.,
Clustering Data: Dealing with High Density Variations,
ICPR00(Vol II: 736-739).
WWW Version.
HTML Version.
0009
BibRef
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,
PRL(26), No. 14, 15 October 2005, pp. 2187-2194.
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:
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
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 .