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WWW Version.
0309
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WWW Version.
0309
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0309
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0401
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0401
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Earlier:
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9501
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WWW Version.
9806
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Earlier:
An algorithm for intrinsic dimensionality estimation,
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WWW Version.
9709Linear time complexity.
BibRef
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9808
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Roweis, S.T.,
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WWW Version.
0001
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Lotlikar, R.[Rohit],
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0008
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IEEE Abstract. IEEE Top Reference.
WWW Version.
0108
BibRef
Earlier: A2, A1, A3:
Multi-class Linear Feature Extraction by Nonlinear PCA,
ICPR00(Vol II: 398-401).
WWW Version.
HTML Version.
0009
BibRef
Loog, M.[Marco],
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Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA:
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0404
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Loog, M.[Marco],
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PR(38), No. 12, December 2005, pp. 2409-2418.
WWW Version.
0510
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Earlier:
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0405
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Loog, M.[Marco],
On an alternative formulation of the Fisher criterion that overcomes
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PR(40), No. 6, June 2007, pp. 1753-1755.
WWW Version.
0704Fisher criterion; Feature extraction; Small sample problem; Counterexample
BibRef
Loog, M.[Marco],
Conditional Linear Discriminant Analysis,
ICPR06(II: 387-390).
WWW Version.
0609
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Loog, M.[Marco],
de Ridder, D.[Dick],
Local Discriminant Analysis,
ICPR06(III: 328-331).
WWW Version.
0609
BibRef
Qin, A.K.,
Suganthan, P.N.,
Loog, M.,
Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff
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ICPR06(III: 125-128).
WWW Version.
0609
BibRef
Cappelli, R.[Raffaele],
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Maltoni, D.[Davide],
Multispace KL for Pattern Representation and Classification,
PAMI(23), No. 9, September 2001, pp. 977-996.
IEEE Abstract. IEEE Top Reference.
WWW Version.
0110For unsupervised dimensionality reduction.
BibRef
Camastra, F.[Francesco],
Vinciarelli, A.[Alessandro],
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PAMI(24), No. 10, October 2002, pp. 1404-1407.
IEEE Abstract. IEEE Top Reference.
0210
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Camastra, F.[Francesco],
Data dimensionality estimation methods: a survey,
PR(36), No. 12, December 2003, pp. 2945-2954.
WWW Version.
0310
Survey, Dimensionality.
BibRef
Wang, X.C.[Xue-Chuan],
Paliwal, K.K.[Kuldip K.],
Feature extraction and dimensionality reduction algorithms and their
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PR(36), No. 10, October 2003, pp. 2429-2439.
WWW Version.
0308
BibRef
Yang, L.[Li],
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PRL(25), No. 1, January 2004, pp. 119-128.
WWW Version.
0311Each point is mapped so that its distances to three already
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BibRef
Yang, L.[Li],
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PRL(25), No. 2, January 2004, pp. 259-266.
WWW Version.
0401
BibRef
Zhao, D.[Dongfang],
Yang, L.[Li],
Incremental Construction of Neighborhood Graphs for Nonlinear
Dimensionality Reduction,
ICPR06(III: 177-180).
WWW Version.
0609
BibRef
Yang, L.[Li],
Distance-Preserving Projection of High-Dimensional Data for Nonlinear
Dimensionality Reduction,
PAMI(26), No. 9, September 2004, pp. 1243-1246.
IEEE Abstract. IEEE Top Reference.
0409
BibRef
And:
Locally Multidimensional Scaling for Nonlinear Dimensionality Reduction,
ICPR06(IV: 202-205).
WWW Version.
0609
BibRef
Yang, L.[Li],
Alignment of Overlapping Locally Scaled Patches for Multidimensional
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PAMI(30), No. 3, March 2008, pp. 438-450.
WWW Version.
0801
BibRef
Rangarajan, L.[Lalitha],
Nagabhushan, P.,
Dimensionality reduction of multidimensional temporal data through
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WWW Version.
0405
BibRef
Bell, I.E.,
Baranoski, G.V.G.,
Reducing the dimensionality of plant spectral databases,
GeoRS(42), No. 3, March 2004, pp. 570-576.
IEEE Abstract. IEEE Top Reference.
0407
BibRef
Choi, S.[Seungjin],
Sequential EM learning for subspace analysis,
PRL(25), No. 14, 15 October 2004, pp. 1559-1567.
WWW Version.
0410PCA for sub space analysis.
BibRef
Rangarajan, L.[Lalitha],
Nagabhushan, P.,
Content driven dimensionality reduction at block level in the design of
an efficient classifier for spatial multi spectral images,
PRL(25), No. 16, December 2004, pp. 1833-1844.
WWW Version.
0411
BibRef
Sun, Q.S.[Quan-Sen],
Liu, Z.D.[Zheng-Dong],
Heng, P.A.[Pheng-Ann],
Xia, D.S.[De-Sen],
A theorem on the generalized canonical projective vectors,
PR(38), No. 3, March 2005, pp. 449-452.
WWW Version.
0412Feature fusion for character recognition.
BibRef
Donoho, D.L.[David L.],
Grimes, C.[Carrie],
Image Manifolds which are Isometric to Euclidean Space,
JMIV(23), No. 1, July 2005, pp. 5-24.
WWW Version.
0505Analysis of ISOMap classification.
(
See also Global Geometric Framework for Nonlinear Dimensionality Reduction, A. )
BibRef
Kouropteva, O.[Olga],
Okun, O.[Oleg],
Pietikäinen, M.[Matti],
Incremental locally linear embedding,
PR(38), No. 10, October 2005, pp. 1764-1767.
WWW Version.
0508
BibRef
Earlier:
Incremental Locally Linear Embedding Algorithm,
SCIA05(521-530).
WWW Version.
0506
BibRef
Hadid, A.,
Kouropteva, O.,
Pietikanen, M.,
Unsupervised Learning Using Locally Linear Embedding:
Experiments with Face Pose Analysis,
ICPR02(I: 111-114).
WWW Version.
0211
BibRef
Benito, M.[Monica],
Pena, D.[Daniel],
A fast approach for dimensionality reduction with image data,
PR(38), No. 12, December 2005, pp. 2400-2408.
WWW Version.
0510
BibRef
Geng, X.,
Zhan, D.C.,
Zhou, Z.H.,
Supervised Nonlinear Dimensionality Reduction for Visualization and
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SMC-B(35), No. 6, December 2005, pp. 1098-1107.
WWW Version.
0512
BibRef
Zhang, K.,
Chan, L.W.,
Dimension Reduction as a Deflation Method in ICA,
SPLetters(13), No. 1, January 2006, pp. 45-48.
WWW Version.
0601
BibRef
Hsieh, P.F.[Pi-Fuei],
Wang, D.S.[Deng-Shiang],
Hsu, C.W.[Chia-Wei],
A Linear Feature Extraction for Multiclass Classification Problems
Based on Class Mean and Covariance Discriminant Information,
PAMI(28), No. 2, February 2006, pp. 223-235.
WWW Version.
0601Use pariwise accuracy criterion rather than LDA for dimensionality reduction.
BibRef
Law, M.H.C.[Martin H.C.],
Jain, A.K.[Anil K.],
Incremental Nonlinear Dimensionality Reduction by Manifold Learning,
PAMI(28), No. 3, March 2006, pp. 377-391.
WWW Version.
0602
BibRef
Hu, Q.[Qinghua],
Yu, D.[Daren],
Xie, Z.[Zongxia],
Information-preserving hybrid data reduction based on fuzzy-rough
techniques,
PRL(27), No. 5, 1 April 2006, pp. 414-423.
WWW Version.
0604Attribute reduction; Hybrid data; Fuzzy-rough set; Information measure
BibRef
Hu, Q.[Qinghua],
Xie, Z.[Zongxia],
Yu, D.[Daren],
Hybrid attribute reduction based on a novel fuzzy-rough model and
information granulation,
PR(40), No. 12, December 2007, pp. 3509-3521.
WWW Version.
0709Numerical feature; Categorical feature; Feature selection;
Attribute reduction; Fuzzy set; Rough set; Inclusion degree
BibRef
Verbeek, J.J.[Jakob J.],
Vlassis, N.[Nikos],
Gaussian fields for semi-supervised regression and correspondence
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PR(39), No. 10, October 2006, pp. 1864-1875.
WWW Version. Keywords: Gaussian fields; Regression; Active learning; Model selection
0606
BibRef
Zhao, D.[Deli],
Formulating LLE using alignment technique,
PR(39), No. 11, November 2006, pp. 2233-2235.
WWW Version.
0608LLE; LTSA; Nonlinear dimensionality reduction; Manifold learning
BibRef
Zheng, Z.L.[Zhong-Long],
Yang, J.[Jie],
Supervised locality pursuit embedding for pattern classification,
IVC(24), No. 8, August 2006, pp. 819-826.
WWW Version.
0608Dimensionality reduction; Principal component analysis;
Linear discriminant analysis; Locality pursuit embedding;
Supervised learning methods
BibRef
Lafon, S.[Stephane],
Lee, A.B.[Ann B.],
Diffusion Maps and Coarse-Graining: A Unified Framework for
Dimensionality Reduction, Graph Partitioning, and Data Set
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PAMI(28), No. 9, September 2006, pp. 1393-1403.
WWW Version.
0608
BibRef
Yan, S.C.[Shui-Cheng],
Xu, D.[Dong],
Zhang, B.Y.[Ben-Yu],
Zhang, H.J.[Hong-Jiang],
Yang, Q.A.[Qi-Ang],
Lin, S.,
Graph Embedding and Extensions: A General Framework for Dimensionality
Reduction,
PAMI(29), No. 1, January 2007, pp. 40-51.
WWW Version.
0701Graph embedding formulation to unify various dimensionality reduction
techniques.
An intrinsic graph and a penalty graph to implement Marginal Fisher Analysis.
Overcome limitations of LDA.
BibRef
Yan, S.C.[Shui-Cheng],
Xu, D.[Dong],
Zhang, B.Y.[Ben-Yu],
Zhang, H.J.[Hong-Jiang],
Graph Embedding: A General Framework for Dimensionality Reduction,
CVPR05(II: 830-837).
WWW Version.
0507
BibRef
Wei, H.L.[Hua-Liang],
Billings, S.A.,
Feature Subset Selection and Ranking for Data Dimensionality Reduction,
PAMI(29), No. 1, January 2007, pp. 162-166.
WWW Version.
0701Forward Orthogonal Search.
Select features 1 at a time.
BibRef
Sotoca, J.M.,
Pla, F.,
Snchez, J.S.,
Band Selection in Multispectral Images by Minimization of Dependent
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SMC-C(37), No. 2, March 2007, pp. 258-267.
WWW Version.
0703
BibRef
Sotoca, J.M.[José Martínez],
Pla, F.[Filiberto],
Hyperspectral Data Selection from Mutual Information Between Image
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SSPR06(853-861).
WWW Version.
0608
BibRef
Sotoca, J.M.,
Sanchez, J.S.,
Pla, F.,
Attribute relevance in multiclass data sets using the naive bayes rule,
ICPR04(III: 426-429).
WWW Version.
0409
BibRef
Sotoca, J.M.,
Pla, F.,
Klaren, A.C.,
Unsupervised band selection for multispectral images using information
theory,
ICPR04(III: 510-513).
WWW Version.
0409
BibRef
Martínez-Usó, A.[Adolfo],
Pla, F.[Filiberto],
Sotoca, J.M.,
García-Sevilla, P.[Pedro],
Clustering-Based Hyperspectral Band Selection Using Information
Measures,
GeoRS(45), No. 12, December 2007, pp. 4158-4171.
WWW Version.
0711
BibRef
Earlier: A1, A2, A4, A3:
Automatic Band Selection in Multispectral Images Using Mutual
Information-Based Clustering,
CIARP06(644-654).
WWW Version.
0611
BibRef
And: A1, A2, A3, A4:
Clustering-based multispectral band selection using mutual information,
ICPR06(II: 760-763).
WWW Version.
0609
BibRef
Zubko, V.,
Kaufman, Y.J.,
Burg, R.I.,
Martins, J.V.,
Principal Component Analysis of Remote Sensing of Aerosols Over Oceans,
GeoRS(45), No. 3, March 2007, pp. 730-745.
WWW Version.
0703
BibRef
Yu, J.,
Tian, Q.,
Rui, T.,
Huang, T.S.,
Integrating Discriminant and Descriptive Information for Dimension
Reduction and Classification,
CirSysVideo(17), No. 3, March 2007, pp. 372-377.
WWW Version.
0703
BibRef
Kokiopoulou, E.[Effrosyni],
Saad, Y.[Yousef],
Orthogonal Neighborhood Preserving Projections: A Projection-Based
Dimensionality Reduction Technique,
PAMI(29), No. 12, December 2007, pp. 2143-2156.
WWW Version.
0711
BibRef
Fu, Y.[Yun],
Huang, T.S.[Thomas S.],
Image Classification Using Correlation Tensor Analysis,
IP(17), No. 2, February 2008, pp. 226-234.
WWW Version.
0801Correlation-based similarity metric
in supervised multilinear discriminant subspace learning can
improve classification performance.
BibRef
Fu, Y.[Yun],
Liu, M.[Ming],
Huang, T.S.[Thomas S.],
Conformal Embedding Analysis with Local Graph Modeling on the Unit
Hypersphere,
ComponentAnalysis07(1-6).
WWW Version.
0706project high dimensional data on unit sphere, maintain neighbor relations.
BibRef
Sanguinetti, G.[Guido],
Dimensionality Reduction of Clustered Data Sets,
PAMI(30), No. 3, March 2008, pp. 535-540.
WWW Version.
0801
BibRef
Xue, H.[Hui],
Chen, S.C.[Song-Can],
Zeng, X.Q.[Xiao-Qin],
Classifier learning with a new locality regularization method,
PR(41), No. 5, May 2008, pp. 1496-1507.
WWW Version.
0711Localized generalization error model; Stochastic sensitivity measure;
Locality regularization (LR); Classifier Learning; Pattern classification
BibRef
Lin, T.[Tong],
Zha, H.B.[Hong-Bin],
Riemannian Manifold Learning,
PAMI(30), No. 5, May 2008, pp. 796-809.
WWW Version.
0803
BibRef
Lin, T.[Tong],
Zha, H.B.[Hong-Bin],
Lee, S.U.[Sang Uk],
Riemannian Manifold Learning for Nonlinear Dimensionality Reduction,
ECCV06(I: 44-55).
WWW Version.
0608
BibRef
Park, C.H.[Cheong Hee],
Lee, M.H.[Moon-Hwi],
On applying linear discriminant analysis for multi-labeled problems,
PRL(29), No. 7, 1 May 2008, pp. 878-887.
WWW Version.
0804Dimension reduction; Linear discriminant analysis;
Multi-labeled problems; Text categorization
BibRef
Fu, Y.[Yun],
Li, Z.[Zhu],
Huang, T.S.[Thomas S.],
Katsaggelos, A.K.[Aggelos K.],
Locally adaptive subspace and similarity metric learning for visual
data clustering and retrieval,
CVIU(110), No. 3, June 2008, pp. 390-402.
WWW Version.
0711Locally embedded analysis; Locally embedded clustering;
Locally adaptive retrieval; Manifold; Subspace learning;
Dimensionality reduction; Similarity matching; Image and video retrieval;
Visual clustering
BibRef
Song, Y.Q.[Yang-Qiu],
Nie, F.P.[Fei-Ping],
Zhang, C.S.[Chang-Shui],
Xiang, S.M.[Shi-Ming],
A unified framework for semi-supervised dimensionality reduction,
PR(41), No. 9, September 2008, pp. 2789-2799.
WWW Version.
0806Dimensionality reduction; Discriminant analysis, Manifold analysis;
Semi-supervised learning
BibRef
Song, Y.Q.[Yang-Qiu],
Nie, F.P.[Fei-Ping],
Zhang, C.S.[Chang-Shui],
Semi-supervised sub-manifold discriminant analysis,
PRL(29), No. 13, 1 October 2008, pp. 1806-1813.
WWW Version.
0804Semi-supervised learning; Dimensionality reduction;
Sub-manifold discriminative embedding
BibRef
Guo, Y.[Yi],
Gao, J.B.[Jun-Bin],
Kwan, P.W.[Paul W.],
Twin Kernel Embedding,
PAMI(30), No. 8, August 2008, pp. 1490-1495.
WWW Version.
0806
BibRef
Rueda, L.G.[Luis G.],
Herrera, M.[Myriam],
Linear dimensionality reduction by maximizing the Chernoff distance in
the transformed space,
PR(41), No. 10, October 2008, pp. 3138-3152.
WWW Version.
0808
BibRef
Earlier:
A New Approach to Multi-class Linear Dimensionality Reduction,
CIARP06(634-643).
WWW Version.
0611
BibRef
And:
A Theoretical Comparison of Two Linear Dimensionality Reduction
Techniques,
CIARP06(624-633).
WWW Version.
0611Linear dimensionality reduction; Pattern classification; Discriminant analysis
BibRef
Shen, C.H.[Chun-Hua],
Li, H.D.[Hong-Dong],
Brooks, M.J.[Michael J.],
Supervised dimensionality reduction via sequential semidefinite
programming,
PR(41), No. 12, December 2008, pp. 3644-3652.
WWW Version.
0810Dimensionality reduction; Semidefinite programming;
Linear discriminant analysis
BibRef
Lisboa, P.J.G.,
Ellis, I.O.,
Green, A.R.,
Ambrogi, F.,
Dias, M.B.,
Cluster-based visualisation with scatter matrices,
PRL(29), No. 13, 1 October 2008, pp. 1814-1823.
WWW Version.
0804Visualisation; Dimensionality reduction; Breast cancer; Marketing;
Conjoint analysis
BibRef
Kim, M.Y.[Min-Young],
Pavlovic, V.[Vladimir],
Dimensionality reduction using covariance operator inverse regression,
CVPR08(1-8).
WWW Version.
0806
BibRef
Goh, A.[Alvina],
Vidal, R.[Rene],
Clustering and dimensionality reduction on Riemannian manifolds,
CVPR08(1-7).
WWW Version.
0806
BibRef
Cevikalp, H.[Hakan],
Triggs, B.[Bill],
Jurie, F.[Frederic],
Polikar, R.[Robi],
Margin-based discriminant dimensionality reduction for visual
recognition,
CVPR08(1-8).
WWW Version.
0806
BibRef
Zhang, Z.Y.[Zhen-Yue],
Zha, H.Y.[Hong-Yuan],
Zhang, M.[Min],
Spectral methods for semi-supervised manifold learning,
CVPR08(1-6).
WWW Version.
0806
BibRef
Lu, Z.D.[Zheng-Dong],
Carreira-Perpinan, M.A.[Miguel A.],
Constrained spectral clustering through affinity propagation,
CVPR08(1-8).
WWW Version.
0806
BibRef
Carreira-Perpinan, M.A.[Miguel A.],
Lu, Z.D.[Zheng-Dong],
Dimensionality reduction by unsupervised regression,
CVPR08(1-8).
WWW Version.
0806
BibRef
Shen, C.H.[Chun-Hua],
Li, H.D.[Hong-Dong],
Brooks, M.J.[Michael J.],
A Convex Programming Approach to the Trace Quotient Problem,
ACCV07(II: 227-235).
WWW Version.
0711Apply to manifold learning, low-dimension embedding.
BibRef
Li, J.[Jun],
Hao, P.W.[Peng-Wei],
Hierarchical Structuring of Data on Manifolds,
CVPR07(1-8).
WWW Version.
0706For new sample, find landmark points for classification.
BibRef
Lee, S.M.[Sang-Mook],
Abbott, A.L.[A. Lynn],
Araman, P.A.[Philip A.],
Dimensionality Reduction and Clustering on Statistical Manifolds,
ComponentAnalysis07(1-7).
WWW Version.
0706
BibRef
Chen, J.H.[Jian-Hui],
Ye, J.P.[Jie-Ping],
Li, Q.[Qi],
Integrating Global and Local Structures:
A Least Squares Framework for Dimensionality Reduction,
CVPR07(1-8).
WWW Version.
0706
BibRef
Wang, H.[Huan],
Yan, S.C.[Shui-Cheng],
Xu, D.[Dong],
Tang, X.[Xiaoou],
Huang, T.S.[Thomas S.],
Trace Ratio vs. Ratio Trace for Dimensionality Reduction,
CVPR07(1-8).
WWW Version.
0706
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Discriminant Analysis .