-
4
-
-
78149301227
-
A minmax cut algorithm for graph partitioning and data clustering
-
C. H. Q. Ding, X. He, H. Zha, M. Gu, H. D. Simon, A minmax cut algorithm for graph partitioning and data clustering, in: Proceedings of the IEEE International Conference on Data Mining (ICDM), 2001, pp. 107114.
-
(2001)
Proceedings of the IEEE International Conference on Data Mining (ICDM)
, pp. 107114
-
-
Ding, C.H.Q.1
He, X.2
Zha, H.3
Gu, M.4
Simon, H.D.5
-
5
-
-
78751645088
-
Fast density-weighted low-rank approximation spectral clustering
-
F. Shang, L.C. Jiao, J. Shi, M. Gong, and R. Shang Fast density-weighted low-rank approximation spectral clustering Data Mining and Knowledge Discovery 23 2 2011 345 378
-
(2011)
Data Mining and Knowledge Discovery
, vol.23
, Issue.2
, pp. 345-378
-
-
Shang, F.1
Jiao, L.C.2
Shi, J.3
Gong, M.4
Shang, R.5
-
6
-
-
80052712151
-
Fast affinity propagation clustering: A multilevel approach
-
F. Shang, L.C. Jiao, J. Shi, F. Wang, and M. Gong Fast affinity propagation clustering: a multilevel approach Pattern Recognition 45 1 2012 474 486
-
(2012)
Pattern Recognition
, vol.45
, Issue.1
, pp. 474-486
-
-
Shang, F.1
Jiao, L.C.2
Shi, J.3
Wang, F.4
Gong, M.5
-
7
-
-
0028561099
-
Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values
-
P. Paatero, and U. Tapper Positive matrix factorization: a non-negative factor model with optimal utilization of error estimates of data values Environmetrics 5 2 1994 111 126
-
(1994)
Environmetrics
, vol.5
, Issue.2
, pp. 111-126
-
-
Paatero, P.1
Tapper, U.2
-
8
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
D.D. Lee, and H.S. Seung Learning the parts of objects by non-negative matrix factorization Nature 401 1999 788 791
-
(1999)
Nature
, vol.401
, pp. 788-791
-
-
Lee, D.D.1
Seung, H.S.2
-
9
-
-
0023322501
-
Recognition-by-components: A theory of human image understanding
-
I. Biederman Recognition-by-components: a theory of human image understanding Psychological Review 94 2 1987 115 147
-
(1987)
Psychological Review
, vol.94
, Issue.2
, pp. 115-147
-
-
Biederman, I.1
-
11
-
-
0013246766
-
Spectral relaxation for K-means clustering
-
H. Zha, X. He, C. H. Q. Ding, M. Gu, H. D. Simon, Spectral relaxation for K-means clustering, in: Advances in Neural Information Processing Systems (NIPS) 14, 2001, pp. 10571064.
-
(2001)
Advances in Neural Information Processing Systems (NIPS)
, vol.14
, pp. 10571064
-
-
Zha, H.1
He, X.2
Ding, C.H.Q.3
Gu, M.4
Simon, H.D.5
-
14
-
-
78650766293
-
Robust positive semidefinite L-Isomap ensemble
-
F. Shang, L.C. Jiao, J. Shi, and J. Chai Robust positive semidefinite L-Isomap ensemble Pattern Recognition Letters 32 4 2011 640 649
-
(2011)
Pattern Recognition Letters
, vol.32
, Issue.4
, pp. 640-649
-
-
Shang, F.1
Jiao, L.C.2
Shi, J.3
Chai, J.4
-
15
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
DOI 10.1126/science.290.5500.2319
-
J.B. Tenenbaum, V. de Silva, and J.C. Langford A global geometric framework for nonlinear dimensionality reduction Science 290 5500 2000 2319 2323 (Pubitemid 32041577)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
De Silva, V.2
Langford, J.C.3
-
16
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
DOI 10.1126/science.290.5500.2323
-
S.T. Roweis, and L.K. Saul Nonlinear dimensionality reduction by locally linear embedding Science 290 5500 2000 2323 2326 (Pubitemid 32041578)
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
18
-
-
33750729556
-
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
-
M. Belkin, P. Niyogi, and V. Sindhwani Manifold regularization: a geometric framework for learning from examples Journal of Machine Learning Research 7 2006 2399 2434 (Pubitemid 44708005)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
19
-
-
79959532395
-
Graph regularization non-negative matrix factorization for data representation
-
D. Cai, X. He, J. Han, and T.S. Huang Graph regularization non-negative matrix factorization for data representation IEEE Transactions on Pattern Analysis and Machine Intelligence 33 8 2011 1548 1560
-
(2011)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.33
, Issue.8
, pp. 1548-1560
-
-
Cai, D.1
He, X.2
Han, J.3
Huang, T.S.4
-
21
-
-
77952375075
-
Information-theoretic co-clustering
-
I. S. Dhillon, S. Mallela, D. S. Modha, Information-theoretic co-clustering, in: Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2003, pp. 8998.
-
(2003)
Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
, pp. 8998
-
-
Dhillon, I.S.1
Mallela, S.2
Modha, D.S.3
-
22
-
-
33749575326
-
Orthogonal nonnegative matrix tri-factorization for clustering
-
C. H. Q. Ding, T. Li, W. Peng, H. Park, Orthogonal nonnegative matrix tri-factorization for clustering, in: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2006, pp. 126135.
-
(2006)
Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
, pp. 126135
-
-
Ding, C.H.Q.1
Li, T.2
Peng, W.3
Park, H.4
-
23
-
-
84863343714
-
Regularized co-clustering with dual supervision
-
V. Sindhwani, J. Hu, A. Mojsilovic, Regularized co-clustering with dual supervision, in: Advances in Neural Information Processing Systems (NIPS) 21, 2009, pp. 15051512.
-
(2009)
Advances in Neural Information Processing Systems (NIPS)
, vol.21
, pp. 15051512
-
-
Sindhwani, V.1
Hu, J.2
Mojsilovic, A.3
-
25
-
-
53849111925
-
Semi-supervised clustering via matrix factorization
-
F. Wang, T. Li, C. Zhang, Semi-supervised clustering via matrix factorization, in: Proceedings of the 8th SIAM Conference on Data Mining (SDM), 2008, pp. 112.
-
(2008)
Proceedings of the 8th SIAM Conference on Data Mining (SDM)
, pp. 112
-
-
Wang, F.1
Li, T.2
Zhang, C.3
-
27
-
-
0035683536
-
Learning spatially localized parts-based representation
-
S. Z. Li, X. Hou, H. Zhang, Q. Cheng, Learning spatially localized parts-based representation, in: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2001, pp. 207212.
-
(2001)
Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 207212
-
-
Li, S.Z.1
Hou, X.2
Zhang, H.3
Cheng, Q.4
-
28
-
-
1542347778
-
Document clustering based on nonnegative matrix factorization
-
W. Xu, X. Liu, Y. Gong, Document clustering based on nonnegative matrix factorization, in: Proceedings of International Conference on Research and Development in Information Retrieval (SIGIR), 2003, pp. 267273.
-
(2003)
Proceedings of International Conference on Research and Development in Information Retrieval (SIGIR)
, pp. 267273
-
-
Xu, W.1
Liu, X.2
Gong, Y.3
-
29
-
-
1642529511
-
Metagenes and molecular pattern discovery using matrix factorization
-
DOI 10.1073/pnas.0308531101
-
J.-P. Brunet, P. Tamayo, T.R. Golub, and J.P. Mesirov Metagenes and molecular pattern discovery using matrix factorization Proceedings of the National Academy of Sciences (PNAS) 101 12 2004 4164 4169 (Pubitemid 38405900)
-
(2004)
Proceedings of the National Academy of Sciences of the United States of America
, vol.101
, Issue.12
, pp. 4164-4169
-
-
Brunet, J.-P.1
Tamayo, P.2
Golub, T.R.3
Mesirov, J.P.4
-
30
-
-
33646682646
-
Nonnegative matrix factorization for spectral data analysis
-
DOI 10.1016/j.laa.2005.06.025, PII S002437950500340X
-
P. Pauca, J. Piper, and R. Plemmons Nonnegative matrix factorization for spectral data analysis Linear Algebra and Its Applications 406 1 2006 29 47 (Pubitemid 43737212)
-
(2006)
Linear Algebra and Its Applications
, vol.416
, Issue.1
, pp. 29-47
-
-
Pauca, V.P.1
Piper, J.2
Plemmons, R.J.3
-
31
-
-
74449083451
-
Using underapproximations for sparse nonnegative matrix factorization
-
N. Gillis, and F. Glineur Using underapproximations for sparse nonnegative matrix factorization Pattern Recognition 43 4 2010 1676 1687
-
(2010)
Pattern Recognition
, vol.43
, Issue.4
, pp. 1676-1687
-
-
Gillis, N.1
Glineur, F.2
-
32
-
-
67349093319
-
Non-negative matrix factorization based on alternating non-negativity constrained least squares and active set method
-
H. Kim, and K. Park Non-negative matrix factorization based on alternating non-negativity constrained least squares and active set method SIAM Journal on Matrix Analysis and Applications 30 2 2008 713 730
-
(2008)
SIAM Journal on Matrix Analysis and Applications
, vol.30
, Issue.2
, pp. 713-730
-
-
Kim, H.1
Park, K.2
-
33
-
-
34547198396
-
Algorithms and applications for approximate nonnegative matrix factorization
-
DOI 10.1016/j.csda.2006.11.006, PII S0167947306004191
-
M.W. Berry, M. Browne, A.N. Langville, P.V. Pauca, and R.J. Plemmons Algorithms and applications for approximate nonnegative matrix factorization Computational Statistics and Data Analysis 52 1 2007 155 173 (Pubitemid 47331703)
-
(2007)
Computational Statistics and Data Analysis
, vol.52
, Issue.1
, pp. 155-173
-
-
Berry, M.W.1
Browne, M.2
Langville, A.N.3
Pauca, V.P.4
Plemmons, R.J.5
-
36
-
-
36348966695
-
On the convergence of multiplicative update algorithms for nonnegative matrix factorization
-
DOI 10.1109/TNN.2007.895831
-
C.-J. Lin On the convergence of multiplicative update algorithms for non-negative matrix factorization IEEE Transactions on Neural Networks 18 6 2007 1589 1596 (Pubitemid 350148414)
-
(2007)
IEEE Transactions on Neural Networks
, vol.18
, Issue.6
, pp. 1589-1596
-
-
Lin, C.-J.1
-
38
-
-
0003840341
-
-
CUCS-005-96, Columbia Univ., Feb. 1996
-
S. A. Nene, S. K. Nayar, J. Murase, Columbia Object Image Library (COIL-20), Technical Report, CUCS-005-96, Columbia Univ., Feb. 1996.
-
Columbia Object Image Library (COIL-20), Technical Report
-
-
Nene, S.A.1
Nayar, S.K.2
Murase, J.3
-
39
-
-
0033352182
-
Automatic classification of single facial images
-
DOI 10.1109/34.817413
-
M.J. Lyons, J. Budynek, and S. Akamatsu Automatic classification of single facial images IEEE Transactions on Pattern Analysis and Machine Intelligence 21 12 1999 1357 1362 (Pubitemid 30568926)
-
(1999)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.21
, Issue.12
, pp. 1357-1362
-
-
Lyons, M.J.1
-
40
-
-
0036833268
-
Logarithm bispectrum-based approach to radar range profile for automatic target recognition
-
DOI 10.1016/S0031-3203(01)00215-1, PII S0031320301002151
-
B. Pei, and Z. Bao Bispectrum based approach to high radar range profile for automatic target recognition Pattern Recognition 35 11 2002 2643 2651 (Pubitemid 34961630)
-
(2002)
Pattern Recognition
, vol.35
, Issue.11
, pp. 2643-2651
-
-
Pei, B.1
Bao, Z.2
Xing, M.3
-
41
-
-
23844557175
-
Radar HRRP target recognition based on higher order spectra
-
DOI 10.1109/TSP.2005.849161
-
L. Du, H. Liu, Z. Bao, and M. Xing Radar HRRP target recognition based on higher order spectra IEEE Transactions on Signal Processing 53 7 2005 2359 2368 (Pubitemid 41166919)
-
(2005)
IEEE Transactions on Signal Processing
, vol.53
, Issue.7
, pp. 2359-2368
-
-
Du, L.1
Liu, H.2
Bao, Z.3
Xing, M.4
-
42
-
-
77953610380
-
Generalized re-weighting local sampling mean discriminant analysis
-
J. Chai, H. Liu, and Z. Bao Generalized re-weighting local sampling mean discriminant analysis Pattern recognition 43 10 2010 3422 3432
-
(2010)
Pattern Recognition
, vol.43
, Issue.10
, pp. 3422-3432
-
-
Chai, J.1
Liu, H.2
Bao, Z.3
-
43
-
-
0036465092
-
Properties of high-resolution range profiles
-
DOI 10.1117/1.1431251
-
M. Xing, Z. Bao, and B. Pei Properties of high-resolution range profiles Optical Engineering 41 2 2002 493 504 (Pubitemid 34404671)
-
(2002)
Optical Engineering
, vol.41
, Issue.2
, pp. 493-504
-
-
Xing, M.1
Bao, Z.2
Pei, B.3
-
45
-
-
80052653159
-
Collaborative filtering: Weighted nonnegative matrix factorization incorporating user and item graphs
-
Q. Gu, J. Zhou, C. Ding, Collaborative filtering: weighted nonnegative matrix factorization incorporating user and item graphs, in: Proceedings of the 10th SIAM Conference on Data Mining (SDM), 2010, pp. 199210.
-
(2010)
Proceedings of the 10th SIAM Conference on Data Mining (SDM)
, pp. 199210
-
-
Gu, Q.1
Zhou, J.2
Ding, C.3
|