-
1
-
-
10044285992
-
Canonical correlation analysis: An overview with application to learning methods
-
DOI 10.1162/0899766042321814
-
D.R. Hardoon, S. Szedmak, and J. Shawe-Taylor, "Canonical Correlation Analysis: An Overview with Applications to Learning Methods," Neural Computation, vol. 16, no. 12, pp. 2639-2664, 2004. (Pubitemid 39604012)
-
(2004)
Neural Computation
, vol.16
, Issue.12
, pp. 2639-2664
-
-
Hardoon, D.R.1
Szedmak, S.2
Shawe-Taylor, J.3
-
2
-
-
0000107975
-
Relations between two sets of variates
-
H. Hotelling, "Relations between Two Sets of Variates," Biometrika, vol. 28, pp. 321-377, 1936.
-
(1936)
Biometrika
, vol.28
, pp. 321-377
-
-
Hotelling, H.1
-
3
-
-
33846898949
-
Class label versus sample label-based CCA
-
DOI 10.1016/j.amc.2006.06.103, PII S0096300306008599
-
T. Sun and S.C. Chen, "Class Label versus Sample Label-Based CCA," Applied Math. and Computation, vol. 185, no. 1, pp. 272-283, 2007. (Pubitemid 46241364)
-
(2007)
Applied Mathematics and Computation
, vol.185
, Issue.1
, pp. 272-283
-
-
Sun, T.1
Chen, S.2
-
4
-
-
77249110935
-
On the equivalence between canonical correlation analysis and orthonormalized partial least squares
-
L. Sun, S.W. Ji, S.P. Yu, and J.P. Ye, "On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares," Proc. 21st Int'l Joint Conf. Artificial Intelligence (IJCAI), pp.1230-1235, 2009.
-
(2009)
Proc. 21st Int'l Joint Conf. Artificial Intelligence (IJCAI)
, pp. 1230-1235
-
-
Sun, L.1
Ji, S.W.2
Yu, S.P.3
Ye, J.P.4
-
6
-
-
35048854078
-
Dimensionality reduction by canonical contextual correlation projections
-
M. Loog, B. Ginneken, and R.P.W. Duin, "Dimensionality Reduction by Canonical Contextual Correlation Projections," Proc. European Conf. Computer Vision (ECCV), pp. 562-573, 2004.
-
(2004)
Proc. European Conf. Computer Vision (ECCV)
, pp. 562-573
-
-
Loog, M.1
Ginneken, B.2
Duin, R.P.W.3
-
7
-
-
79958789783
-
Sparse canonical correlation analysis
-
D.R. Hardoon and J. Shawe-Taylor, "Sparse Canonical Correlation Analysis," Machine Learning, vol. 83, no. 3, pp. 331-353, 2011.
-
(2011)
Machine Learning
, vol.83
, Issue.3
, pp. 331-353
-
-
Hardoon, D.R.1
Shawe-Taylor, J.2
-
8
-
-
62449336277
-
Sparse canonical correlation analysis with application to genomic data integration
-
P. Elena, T. David, and B. Joseph, "Sparse Canonical Correlation Analysis with Application to Genomic Data Integration," Statistical Applications in Genetics and Molecular Biology, vol. 8, no. 1, pp. 1-34, 2009.
-
(2009)
Statistical Applications in Genetics and Molecular Biology
, vol.8
, Issue.1
, pp. 1-34
-
-
Elena, P.1
David, T.2
Joseph, B.3
-
9
-
-
38849098283
-
Quantifying the association between gene expressions and dna-markers by penalized canonical correlation analysis
-
S. Waaijenborg, P.C.V. de Witt Hamer, and A.H. Zwinderman, "Quantifying the Association between Gene Expressions and DNA-Markers by Penalized Canonical Correlation Analysis," Statistical Applications in Genetics and Molecular Biology, vol. 7, no. 1, p. 3, 2008.
-
(2008)
Statistical Applications in Genetics and Molecular Biology
, vol.7
, Issue.1
, pp. 3
-
-
Waaijenborg, S.1
De Witt Hamer, P.C.V.2
Zwinderman, A.H.3
-
10
-
-
77956269820
-
Using canonical correlation analysis to discover genetic regulatory variants
-
M. Naylor, X. Lin, S. Weiss, B. Raby, and C. Lange, "Using Canonical Correlation Analysis to Discover Genetic Regulatory Variants," PLoS One, vol. 5, no. 5, p. e10395, 2010.
-
(2010)
PLoS One
, vol.5
, Issue.5
-
-
Naylor, M.1
Lin, X.2
Weiss, S.3
Raby, B.4
Lange, C.5
-
11
-
-
70449408310
-
Sparse canonical correlation analysis for identifying, connecting and completing gene-expression networks
-
article 315
-
S. Waaijenborg and A.H. Zwinderman, "Sparse Canonical Correlation Analysis for Identifying, Connecting and Completing Gene-Expression Networks," BMC Bioinformatics, vol. 10, article 315, 2009.
-
(2009)
BMC Bioinformatics
, vol.10
-
-
Waaijenborg, S.1
Zwinderman, A.H.2
-
12
-
-
0035248924
-
PCA versus LDA
-
DOI 10.1109/34.908974
-
A. Martinez and A. Kak, "PCA versus LDA," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 2, pp. 228-233, Feb. 2001. (Pubitemid 32254716)
-
(2001)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.23
, Issue.2
, pp. 228-233
-
-
Martinez, A.M.1
Kak, A.C.2
-
13
-
-
78649325096
-
Canonical correlation analysis for multilabel classification: A least-squares formulation, extensions, and analysis
-
Jan.
-
L. Sun, S.W. Ji, and J.P. Ye, "Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis," IEEE Trans. Patten Analysis and Machine Intelligence, vol. 33, no. 1, pp. 194-200, Jan. 2011.
-
(2011)
IEEE Trans. Patten Analysis and Machine Intelligence
, vol.33
, Issue.1
, pp. 194-200
-
-
Sun, L.1
Ji, S.W.2
Ye, J.P.3
-
14
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
DOI 10.1162/089976603321780317
-
M. Belkin and P. Niyogi, "Laplacian Eigenmaps for Dimensionality Reduction and Data Representation," Neural Computation, vol. 15, no. 6, pp. 1373-1396, 2003. (Pubitemid 37049796)
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
15
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
DOI 10.1126/science.290.5500.2323
-
S. Roweis and L. Saul, "Nonlinear Dimensionality Reduction by Locally Linear Embedding," Science, vol. 290, no. 5500, pp. 2323-2326, 2000. (Pubitemid 32041578)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
16
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
DOI 10.1126/science.290.5500.2319
-
J.B. Tenenbaum, V. Silva, and J.C. Langford, "A Global Geometric Framework for Nonlinear Dimensionality Reduction," Science, vol. 290, no. 5500, pp. 2319-2323, 2000. (Pubitemid 32041577)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
De Silva, V.2
Langford, J.C.3
-
17
-
-
61549128441
-
Robust face recognition via sparse representation
-
Feb
-
J. Wright, A. Yang, S. Sastry, and Y. Ma, "Robust Face Recognition via Sparse Representation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 210-227, Feb. 2009.
-
(2009)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.2
Sastry, S.3
Ma, Y.4
-
18
-
-
77958525245
-
Two-stage sparse representation for robust recognition on large-scale database
-
R. He, B.G. Hu, W.S. Zheng, and Y.Q. Guo, "Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database," Proc. AAAI Conf. Artificial Intelligence, 2010.
-
(2010)
Proc. AAAI Conf. Artificial Intelligence
-
-
He, R.1
Hu, B.G.2
Zheng, W.S.3
Guo, Y.Q.4
-
19
-
-
71549141428
-
A greedy approach to sparse canonical correlation analysis
-
available in arXiv:0801.2748v1
-
A. Wiesel, M. Kliger, and A.O. Hero III, "A Greedy Approach to Sparse Canonical Correlation Analysis," Annals of Statistics, available in arXiv:0801.2748v1, 2008.
-
(2008)
Annals of Statistics
-
-
Wiesel, A.1
Kliger, M.2
Hero Iii., A.O.3
-
20
-
-
77949722130
-
Learning with l1-graph for image analysis
-
Apr.
-
B. Cheng, J.C. Yang, S.C. Yan, Y. Fu, and T.S. Huang, "Learning with l1-Graph for Image Analysis," IEEE Trans. Image Processing vol. 19, no. 4, pp. 858-866, Apr. 2010.
-
(2010)
IEEE Trans. Image Processing
, vol.19
, Issue.4
, pp. 858-866
-
-
Cheng, B.1
Yang, J.C.2
Yan, S.C.3
Fu, Y.4
Huang, T.S.5
-
22
-
-
76849086406
-
Feature selection for gene expression using model-based entropy
-
Jan.-Mar.
-
S. Zhu, D. Wang, K. Yu, T. Li, and Y. Gong, "Feature Selection for Gene Expression Using Model-Based Entropy," IEEE/ACM Trans. Computational Biology and Bioinformatics, vol. 7, no. 1, pp. 25-36, Jan.-Mar. 2010.
-
(2010)
IEEE/ACM Trans. Computational Biology and Bioinformatics
, vol.7
, Issue.1
, pp. 25-36
-
-
Zhu, S.1
Wang, D.2
Yu, K.3
Li, T.4
Gong, Y.5
-
23
-
-
77956768546
-
Robust classifiers for data reduced via random projections
-
Oct.
-
A. Majumdar and R.K. Ward, "Robust Classifiers for Data Reduced via Random Projections," IEEE Trans. Systems, Man and Cybernetics, Part B-Cybernetics, vol. 40, no. 5, pp. 1359-1371, Oct. 2010.
-
(2010)
IEEE Trans. Systems, Man and Cybernetics, Part B-Cybernetics
, vol.40
, Issue.5
, pp. 1359-1371
-
-
Majumdar, A.1
Ward, R.K.2
-
24
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
DOI 10.1111/j.1467-9868.2005.00503.x
-
H. Zou and T. Hastie, "Regularization and Variable Selection via the Elastic Net," J. Royal Statistical Soc. B, vol. 67, no. 2, pp. 301-320, 2005. (Pubitemid 40465877)
-
(2005)
Journal of the Royal Statistical Society. Series B: Statistical Methodology
, vol.67
, Issue.2
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
-
25
-
-
69049112203
-
Sparsity preserving projections with applications to face recognition
-
L.S. Qiao, S.C. Chen, and X.Y. Tan, "Sparsity Preserving Projections with Applications to Face Recognition," Pattern Recognition, vol. 43, no. 1, pp. 31-341, 2010.
-
(2010)
Pattern Recognition
, vol.43
, Issue.1
, pp. 31-341
-
-
Qiao, L.S.1
Chen, S.C.2
Tan, X.Y.3
-
26
-
-
67349282310
-
Trace ratio problem revisited
-
Apr
-
Y. Jia, F. Nie, and C. Zhang, "Trace Ratio Problem Revisited," IEEE Trans. Neural Network, vol. 20, no. 4, pp. 729-735, Apr. 2009.
-
(2009)
IEEE Trans. Neural Network
, vol.20
, Issue.4
, pp. 729-735
-
-
Jia, Y.1
Nie, F.2
Zhang, C.3
-
27
-
-
35148823228
-
Trace ratio vs ratio trace for dimensionality reduction
-
H. Wang, S. Yan, D. Xu, X. Tang, and T. Huang, "Trace Ratio vs. Ratio Trace for Dimensionality Reduction," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2007.
-
(2007)
Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR)
-
-
Wang, H.1
Yan, S.2
Xu, D.3
Tang, X.4
Huang, T.5
-
28
-
-
56449106936
-
A least squares formulation for canonical correlation analysis
-
L. Sun, S.W. Ji, and J.P. Ye, "A Least Squares Formulation for Canonical Correlation Analysis," Proc. 25th Int'l Conf. Machine Learning (ICML), pp. 1024-1031, 2008.
-
(2008)
Proc. 25th Int'l Conf. Machine Learning (ICML)
, pp. 1024-1031
-
-
Sun, L.1
Ji, S.W.2
Ye, J.P.3
-
29
-
-
0037350844
-
Partial least squares (PLS) for discrimination
-
M. Barker and W. Rayens, "Partial Least Squares (PLS) for Discrimination," J. Chemometrics, vol. 17, pp. 166-173, 2003.
-
(2003)
J. Chemometrics
, vol.17
, pp. 166-173
-
-
Barker, M.1
Rayens, W.2
-
30
-
-
0038411840
-
Kernel canonical correlation analysis and least squares support vector machines
-
T.V. Gestel, J.A.K. Suykens, J. De Brabanter, B. De Moor, and J. Vandewalle, "Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines," Proc. Int'l Conf. Artificial Neural Networks (ICANN), 2001.
-
(2001)
Proc. Int'l Conf. Artificial Neural Networks (ICANN)
-
-
Gestel, T.V.1
Suykens, J.A.K.2
De Brabanter, J.3
De Moor, B.4
Vandewalle, J.5
-
31
-
-
80054887691
-
Compression and denoising using l0-norm
-
A.C. Yau, X.C. Tai, and M.K. Ng, "Compression and Denoising Using l0-Norm," Computational Optimization and Applications, vol. 50, no. 2, pp. 425-444, 2011.
-
(2011)
Computational Optimization and Applications
, vol.50
, Issue.2
, pp. 425-444
-
-
Yau, A.C.1
Tai, X.C.2
Ng, M.K.3
-
33
-
-
33947194180
-
Graph embedding and extensions: A general framework for dimensionality reduction
-
DOI 10.1109/TPAMI.2007.250598
-
S. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang, and S. Lin, "Graph Embedding and Extensions: A General Framework for Dimensionality Reduction," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 29, no. 1, pp. 40-51, Jan. 2007. (Pubitemid 46415944)
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.1
, pp. 40-51
-
-
Yan, S.1
Xu, D.2
Zhang, B.3
Zhang, H.-J.4
Yang, Q.5
Lin, S.6
-
34
-
-
0346034995
-
A generalized Foley-Sammon transform based on generalized fisher discriminant criterion and its application to face recognition
-
DOI 10.1016/S0167-8655(02)00207-6, PII S0167865502002076
-
Y. Guo, S. Li, J. Yang, T. Shu, and L. Wu, "A Generalized Foley-Sammon Transform Based on Generalized Fisher Discriminant Criterion and Its Application to Face Recognition," Pattern Recognition Letters, vol. 24, nos. 1-3, pp. 147-158, 2003. (Pubitemid 36080765)
-
(2003)
Pattern Recognition Letters
, vol.24
, Issue.1-3
, pp. 147-158
-
-
Guo, Y.-F.1
Li, S.-J.2
Yang, J.-Y.3
Shu, T.-T.4
Wu, L.-D.5
-
36
-
-
33144458972
-
Efficient and robust feature extraction by maximum margin criterion
-
DOI 10.1109/TNN.2005.860852
-
H. Li, T. Jiang, and K. Zhang, "Efficient and Robust Feature Extraction by Maximum Margin Criterion," IEEE Trans. Neural Networks, vol. 17, no. 1, pp. 157-165, Jan. 2006. (Pubitemid 43263948)
-
(2006)
IEEE Transactions on Neural Networks
, vol.17
, Issue.1
, pp. 157-165
-
-
Li, H.1
Jiang, T.2
Zhang, K.3
-
38
-
-
0034850577
-
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
-
D. Martin, C. Fowlkes, D. Tal, and J. Malik, "A Database of Human Segmented Natural Images and Its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics," Proc. IEEE Eighth Int'l Conf. Computer Vision (ICCV), pp. 416-423, 2001. (Pubitemid 32795086)
-
(2001)
Proceedings of the IEEE International Conference on Computer Vision
, vol.2
, pp. 416-423
-
-
Martin, D.1
Fowlkes, C.2
Tal, D.3
Malik, J.4
-
39
-
-
70349323317
-
Interactive image segmentation by maximal similarity based region merging
-
J.F. Ning, L. Zhang, D. Zhang, and C.K. Wu, "Interactive Image Segmentation by Maximal Similarity Based Region Merging," Pattern Recognition, vol. 43, no. 2, pp. 445-456, 2010.
-
(2010)
Pattern Recognition
, vol.43
, Issue.2
, pp. 445-456
-
-
Ning, J.F.1
Zhang, L.2
Zhang, D.3
Wu, C.K.4
-
40
-
-
67650998686
-
Linear neighborhood propagation and its applications
-
Sept
-
J.D. Wang, F. Wang, C.S. Zhang, H.C. Shen, and L. Quan, "Linear Neighborhood Propagation and Its Applications," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 31, no. 3, pp. 1600-1615, Sept. 2009.
-
(2009)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.31
, Issue.3
, pp. 1600-1615
-
-
Wang, J.D.1
Wang, F.2
Zhang, C.S.3
Shen, H.C.4
Quan, L.5
-
42
-
-
35348826480
-
Kernel laplacian eigenmaps for visualization of non-vectorial data
-
Y. Guo, J. Gao, and P. Kwan, "Kernel Laplacian Eigenmaps for Visualization of Non-Vectorial Data," Proc. 19th Australian Joint Conf. Artificial Intelligence: Advances in Artificial Intelligence, pp. 1179-1183, 2006.
-
(2006)
Proc. 19th Australian Joint Conf. Artificial Intelligence: Advances in Artificial Intelligence
, pp. 1179-1183
-
-
Guo, Y.1
Gao, J.2
Kwan, P.3
-
44
-
-
36649009540
-
SRDA: An efficient algorithm for large-scale discriminant analysis
-
Jan
-
D. Cai, X.F. He, and J.W. Han, "SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis," IEEE Trans. Knowledge and Data Eng., vol. 20, no. 1, pp. 1-12, Jan. 2008.
-
(2008)
IEEE Trans. Knowledge and Data Eng
, vol.20
, Issue.1
, pp. 1-12
-
-
Cai, D.1
He, X.F.2
Han, J.W.3
|