-
1
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
D.D. Lee and S. Seung, "Learning the parts of objects by non-negative matrix factorization," Nature, vol. 401, pp. 788-791, 1999.
-
(1999)
Nature
, vol.401
, pp. 788-791
-
-
Lee, D.D.1
Seung, S.2
-
3
-
-
67349093319
-
Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method
-
H. Kim and H. Park, "Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method," SIAM Journal on Matrix Analysis and Applications, vol. 30, no. 2, pp. 713-730, 2008.
-
(2008)
SIAM Journal on Matrix Analysis and Applications
, vol.30
, Issue.2
, pp. 713-730
-
-
Kim, H.1
Park, H.2
-
4
-
-
84900510076
-
Non-negative matrix factorization with sparseness constraints
-
P.O. Hoyer, "Non-negative matrix factorization with sparseness constraints," Journal Machine Learning Research, vol. 5, pp. 1457-1469, 2004.
-
(2004)
Journal Machine Learning Research
, vol.5
, pp. 1457-1469
-
-
Hoyer, P.O.1
-
5
-
-
84871617105
-
Convex and semi-nonnegative matrix factorizations
-
C. Ding, T. Li, and M.I. Jordan, "Convex and semi-nonnegative matrix factorizations," IEEE Transations on Pattern Analysis and Machine Intelligence, vol. 32, no. 1, pp. 45-55, 2010.
-
(2010)
IEEE Transations on Pattern Analysis and Machine Intelligence
, vol.32
, Issue.1
, pp. 45-55
-
-
Ding, C.1
Li, T.2
Jordan, M.I.3
-
6
-
-
33749575326
-
Orthogonal nonnegative matrix tri-factorizations for clustering
-
C. Ding, T. Li, W. Peng, and H. Park, "Orthogonal nonnegative matrix tri-factorizations for clustering," KDD, pp. 126-135, 2006.
-
(2006)
KDD
, pp. 126-135
-
-
Ding, C.1
Li, T.2
Peng, W.3
Park, H.4
-
7
-
-
0041339710
-
Introducing a weighted non-negative matrix factorization for image classification
-
D. Guillamet, J. Vitrià, B. Schiele, "Introducing a weighted non-negative matrix factorization for image classification," Pattern Recognition Letters, vol. 24, 24472454, 2003.
-
(2003)
Pattern Recognition Letters
, vol.24
, pp. 24472454
-
-
Guillamet, D.1
Vitrià, J.2
Schiele, B.3
-
8
-
-
1642529511
-
Metagenes and molecular pattern discovery using matrix factorization
-
J.P. Brunet, P. Tamayo, T.R. Golub, and J.P. Mesirov, "Metagenes and molecular pattern discovery using matrix factorization," PNAS, vol. 101, no. 12, pp. 4164-4169, 2004
-
(2004)
PNAS
, vol.101
, Issue.12
, pp. 4164-4169
-
-
Brunet, J.P.1
Tamayo, P.2
Golub, T.R.3
Mesirov, J.P.4
-
9
-
-
34547198396
-
Algorithms and applications for approximate nonnegative matrix factorization
-
M.W. Berry, M. Browne, A.N. Langville, V.P. Pauca, and R.J. Plemmons, "Algorithms and applications for approximate nonnegative matrix factorization," Computational Statics & Data Analysis, vol. 52, pp. 155-173, 2007.
-
(2007)
Computational Statics & Data Analysis
, vol.52
, pp. 155-173
-
-
Berry, M.W.1
Browne, M.2
Langville, A.N.3
Pauca, V.P.4
Plemmons, R.J.5
-
10
-
-
79952383578
-
Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data
-
T. Park, et. al. (eds.). Hong Kong, New York: IEEE Press
-
Y. Li and A. Ngom, "Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data," In T. Park, et. al. (eds.) BIBM pp. 438-443. Hong Kong, New York: IEEE Press.
-
BIBM
, pp. 438-443
-
-
Li, Y.1
Ngom, A.2
-
11
-
-
84868701655
-
Classification approach based on nonnegative least squares
-
School of Computer Science, March 2012
-
Y. Li and A. Ngom, "Classification approach based on nonnegative least squares," School of Computer Science, University of Windsor, Technical Report, No. 12-010, March 2012. Available at: http://cs.uwindsor.ca/ ~li11112c/doc/Report12-010,Li2012.pdf
-
University of Windsor, Technical Report, 12-010
-
-
Li, Y.1
Ngom, A.2
-
12
-
-
48249100881
-
Algorithms for sparse nonnegative tucker decompositions
-
M. Mørup, L.K. Hansen, and S.M. Arnfred, "Algorithms for sparse nonnegative tucker decompositions," Neural Computation, vol. 20, no. 8, pp. 2112-2131, 2008.
-
(2008)
Neural Computation
, vol.20
, Issue.8
, pp. 2112-2131
-
-
Mørup, M.1
Hansen, L.K.2
Arnfred, S.M.3
-
14
-
-
68649096448
-
Tensor decompositions and applications
-
T.G. Kolda and B.W. Bader, "Tensor decompositions and applications," SIAM Review, vol. 51, no. 3, pp. 455-500, 2009.
-
(2009)
SIAM Review
, vol.51
, Issue.3
, pp. 455-500
-
-
Kolda, T.G.1
Bader, B.W.2
-
15
-
-
84864038372
-
Non-negative matrix factorization classifier
-
Manuscript ID: TCBB-2011-05-0130, submitted on May 24
-
Y. Li, "Non-negative matrix factorization classifier," IEEE Transactions on Computational Biology and Bioinformatics, Manuscript ID: TCBB-2011-05-0130, submitted on May 24, 2011. Available at: http://cs.uwindsor. ca/~li11112c/doc/tcbb.pdf
-
(2011)
IEEE Transactions on Computational Biology and Bioinformatics
-
-
Li, Y.1
-
16
-
-
80051675637
-
Classification of clinical gene-sample-time microarray expression data via tensor decomposition methods
-
Y. Li and A. Ngom. "Classification of clinical gene-sample-time microarray expression data via tensor decomposition methods," LNBI/LNCS, vol. 6685, pp. 275-286, 2011.
-
(2011)
LNBI/LNCS
, vol.6685
, pp. 275-286
-
-
Li, Y.1
Ngom, A.2
-
17
-
-
33749546310
-
Non-negative matrix factorization on kernels
-
D. Zhang, Z. Zhou, and S. Chen, "Non-negative matrix factorization on kernels," LNCS, vol. 4099, pp. 404-412, 2006.
-
(2006)
LNCS
, vol.4099
, pp. 404-412
-
-
Zhang, D.1
Zhou, Z.2
Chen, S.3
-
18
-
-
24944500827
-
Fast algorithm for the solution of large-scale non-negaive constrained least squares problems
-
M.H. Van Benthem and M.R. Keenan, "Fast algorithm for the solution of large-scale non-negaive constrained least squares problems," Journal of Chemometrics, vol. 18, pp. 441-450, 2004.
-
(2004)
Journal of Chemometrics
, vol.18
, pp. 441-450
-
-
Van Benthem, M.H.1
Keenan, M.R.2
-
19
-
-
36249003318
-
Class prediction from time series gene expression profiles using dynamical systems kernels
-
HI
-
K.M. Borgwardt, S.V.N., Vishwanathan, and H.P. Kriegel, "Class prediction from time series gene expression profiles using dynamical systems kernels," Proc. Pacific Symposim on Biocomputing(PSB), HI, 2006, pp. 547-558.
-
(2006)
Proc. Pacific Symposim on Biocomputing(PSB)
, pp. 547-558
-
-
Borgwardt, K.M.1
Vishwanathan, S.V.N.2
Kriegel, H.P.3
-
20
-
-
0035300437
-
Transcriptional gene expression profiles of colorectal adenoma, adenocarcinoma, and normal tissue examined by oligonucleotide arrays
-
D.A. Notterman, U. Alon, A.J. Sierk, and A.J. Levine, "Transcriptional gene expression profiles of colorectal adenoma, adenocarcinoma, and normal tissue examined by oligonucleotide arrays," Cancer Research, vol. 61, pp. 3124-3130, 2001.
-
(2001)
Cancer Research
, vol.61
, pp. 3124-3130
-
-
Notterman, D.A.1
Alon, U.2
Sierk, A.J.3
Levine, A.J.4
-
21
-
-
18244409687
-
Gene expression profiling predicts clinical outcome of breast cancer
-
L.J. Van't Veer, et al., "Gene expression profiling predicts clinical outcome of breast cancer," Nature, vol. 415, no. 6871, pp. 530-536, 2002.
-
(2002)
Nature
, vol.415
, Issue.6871
, pp. 530-536
-
-
Van't Veer, L.J.1
-
22
-
-
0033536012
-
Broad patterns of gene expression revealed by clustering of tumor and normal colon tissues probed by oligonucleotide arrays
-
U. Alon, et al., "Broad patterns of gene expression revealed by clustering of tumor and normal colon tissues probed by oligonucleotide arrays," PNAS, vol. 96, no. 12, pp. 6745-6750, 1999.
-
(1999)
PNAS
, vol.96
, Issue.12
, pp. 6745-6750
-
-
Alon, U.1
-
23
-
-
0033569406
-
Molecular classication of cancer: Class discovery and class prediction by gene expression monitoring
-
T.R. Golub, et al., "Molecular classication of cancer: class discovery and class prediction by gene expression monitoring," Science, vol. 286, no. 15, pp. 531-537, 1999.
-
(1999)
Science
, vol.286
, Issue.15
, pp. 531-537
-
-
Golub, T.R.1
-
24
-
-
19044399684
-
Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
-
E.J. Yeoh, et al., "Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling," Cancer Cell, vol. 1, pp. 133-143, 2002.
-
(2002)
Cancer Cell
, vol.1
, pp. 133-143
-
-
Yeoh, E.J.1
-
25
-
-
33646874546
-
The molecular portraits of breast tumors are conserved across microarray platforms
-
doi:10.1186/1471-2164-7-96
-
Z. Hu, et al., "The molecular portraits of breast tumors are conserved across microarray platforms," BMC Genomics, vol. 7, doi:10.1186/1471-2164-7-96, 2006.
-
(2006)
BMC Genomics
, vol.7
-
-
Hu, Z.1
-
26
-
-
18544375333
-
MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia
-
S.A. Armstrong, et al., "MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia," Nature Genetics, vol. 30, pp. 41-47, 2002.
-
(2002)
Nature Genetics
, vol.30
, pp. 41-47
-
-
Armstrong, S.A.1
-
27
-
-
0034954414
-
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
-
J. Khan, et al., "Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks," Nature Medicine, vol. 7, no. 6, pp. 673-679, 2001.
-
(2001)
Nature Medicine
, vol.7
, Issue.6
, pp. 673-679
-
-
Khan, J.1
-
28
-
-
20044373640
-
Transcription-based prediction of response to INFβ using supervised computational methods
-
P. Mousavi J. Rio S.J. Caillier A. Stillman and P. Villoslada
-
S.E. Baranzini, et al., P. Mousavi, J. Rio, S.J. Caillier, A. Stillman, and P. Villoslada, "Transcription-based prediction of response to INFβ using supervised computational methods," PLOS Biology, vol. 3, no. 1, pp. e2, 2005.
-
(2005)
PLOS Biology
, vol.3
, Issue.1
-
-
Baranzini, S.E.1
-
29
-
-
61549128441
-
Robust face recognition via sparse representation
-
J. Wright, A.Y. Yang, A. Ganesh, S.S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 210-227, 2009.
-
(2009)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.Y.2
Ganesh, A.3
Sastry, S.S.4
Ma, Y.5
-
31
-
-
84864043545
-
The non-negative matrix factorization MATLAB toolbox for high dimensional biological data
-
School of Computer Science, May
-
Y. Li and A. Ngom,"The non-negative matrix factorization MATLAB toolbox for high dimensional biological data," School of Computer Science, University of Windsor, Technical Report, No. 11-060, May, 2011. Available at http://cs.uwindsor.ca/~li11112c/nmf
-
(2011)
University of Windsor, Technical Report, 11-060
-
-
Li, Y.1
Ngom, A.2
|