-
1
-
-
57049095978
-
Unsupervised multiway data analysis: A literature survey
-
Acar, E., Yener, B.: Unsupervised multiway data analysis: A literature survey. IEEE Trans. Knowl. Data Eng. 21(1), 6-20 (2009)
-
(2009)
IEEE Trans. Knowl. Data Eng.
, vol.21
, Issue.1
, pp. 6-20
-
-
Acar, E.1
Yener, B.2
-
2
-
-
84892000258
-
Discussion tracking in Enron email using PARAFAC
-
Springer, Berlin
-
Bader, B.W., Berry, M.W., Browne, M.: Discussion tracking in Enron email using PARAFAC. In: Survey of Text Mining II: Clustering, Classification, and Retrieval, pp. 147-163. Springer, Berlin (2008)
-
(2008)
Survey of Text Mining II: Clustering, Classification, and Retrieval
, pp. 147-163
-
-
Bader, B.W.1
Berry, M.W.2
Browne, M.3
-
4
-
-
0642334046
-
A fast non-negativity-constrained least squares algorithm
-
Bro, R., De Jong, S.: A fast non-negativity-constrained least squares algorithm. J. Chem. 11, 393-401 (1997)
-
(1997)
J. Chem.
, vol.11
, pp. 393-401
-
-
Bro, R.1
De Jong, S.2
-
5
-
-
34250499792
-
Analysis of individual differences in multidimensional scaling via an N-way generalization of "eckart-Young" decomposition
-
Carroll, J.D., Chang, J.J.: Analysis of individual differences in multidimensional scaling via an N-way generalization of "Eckart-Young" decomposition. Psychometrika 35(3), 283-319 (1970)
-
(1970)
Psychometrika
, vol.35
, Issue.3
, pp. 283-319
-
-
Carroll, J.D.1
Chang, J.J.2
-
6
-
-
0040760089
-
Fitting of the latent class model via iteratively reweighted least squares CANDECOMP with nonnegativity constraints
-
North-Holland, Amsterdam
-
Carroll, J.D., Soete, G.D., Pruzansky, S.: Fitting of the latent class model via iteratively reweighted least squares CANDECOMP with nonnegativity constraints. In: Multiway data analysis, pp. 463-472. North-Holland, Amsterdam (1989). http://portal.acm.org/citation.cfm?id=120565.120614
-
(1989)
Multiway Data Analysis
, pp. 463-472
-
-
Carroll, J.D.1
Soete, G.D.2
Pruzansky, S.3
-
7
-
-
74449093261
-
Fast local algorithms for large scale nonnegative matrix and tensor factorizations
-
Cichocki, A., Phan, A.H.: Fast local algorithms for large scale nonnegative matrix and tensor factorizations. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. E92-A(3), 708-721 (2009)
-
(2009)
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
, vol.E92-A
, Issue.3
, pp. 708-721
-
-
Cichocki, A.1
Phan, A.H.2
-
8
-
-
37749030729
-
Hierarchical ALS algorithms for nonnegative matrix and 3D tensor factorization
-
Springer, Berlin
-
Cichocki, A., Zdunek, R., Amari, S.I.: Hierarchical ALS algorithms for nonnegative matrix and 3D tensor factorization. In: Lecture Notes in Computer Science, vol. 4666, pp. 169-176. Springer, Berlin (2007)
-
(2007)
Lecture Notes in Computer Science
, vol.4666
, pp. 169-176
-
-
Cichocki, A.1
Zdunek, R.2
Amari, S.I.3
-
10
-
-
47249112550
-
Computing nonnegative tensor factorizations
-
Friedlander, M.P., Hatz, K.: Computing nonnegative tensor factorizations. Comput. Optim. Appl. 23(4), 631-647 (2008). doi:10.1080/10556780801996244
-
(2008)
Comput. Optim. Appl.
, vol.23
, Issue.4
, pp. 631-647
-
-
Friedlander, M.P.1
Hatz, K.2
-
11
-
-
0002740437
-
Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-modal factor analysis
-
Harshman, R.A.: Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-modal factor analysis. In: UCLA Working Papers in Phonetics, vol. 16, pp. 1-84 (1970)
-
(1970)
UCLA Working Papers in Phonetics
, vol.16
, pp. 1-84
-
-
Harshman, R.A.1
-
12
-
-
0028434099
-
A block principal pivoting algorithm for large-scale strictly monotone linear complementarity problems
-
Júdice, J.J., Pires, F.M.: A block principal pivoting algorithm for large-scale strictly monotone linear complementarity problems. Comput. Oper. Res. 21(5), 587-596 (1994)
-
(1994)
Comput. Oper. Res.
, vol.21
, Issue.5
, pp. 587-596
-
-
Júdice, J.J.1
Pires, F.M.2
-
13
-
-
34547844077
-
Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for micro-array data analysis
-
Kim, H., Park, H.: Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for micro-array data analysis. Bioinformatics 23(12), 1495-1502 (2007)
-
(2007)
Bioinformatics
, vol.23
, Issue.12
, pp. 1495-1502
-
-
Kim, H.1
Park, H.2
-
14
-
-
67349093319
-
Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method
-
Kim, H., Park, H.: Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM J. Matrix Anal. Appl. 30(2), 713-730 (2008). doi:10.1137/07069239X
-
(2008)
SIAM J. Matrix Anal. Appl.
, vol.30
, Issue.2
, pp. 713-730
-
-
Kim, H.1
Park, H.2
-
15
-
-
47649132194
-
Non-negative tensor factorization based on alternating large-scale non-negativity-constrained least squares
-
Kim, H., Park, H., Eldén, L.: Non-negative tensor factorization based on alternating large-scale non-negativity-constrained least squares. In: Proceedings of IEEE 7th International Conference on Bioinformatics and Bioengineering (BIBE07), vol. 2, pp. 1147-1151 (2007)
-
(2007)
Proceedings of IEEE 7th International Conference on Bioinformatics and Bioengineering (BIBE07)
, vol.2
, pp. 1147-1151
-
-
Kim, H.1
Park, H.2
Eldén, L.3
-
18
-
-
84863012243
-
Fast nonnegative matrix factorization: An active-set-like method and comparisons
-
Kim, J., Park, H.: Fast nonnegative matrix factorization: An active-set-like method and comparisons. SIAM J. Sci. Comput. 33, 3261 (2011)
-
(2011)
SIAM J. Sci. Comput.
, vol.33
, pp. 3261
-
-
Kim, J.1
Park, H.2
-
19
-
-
68649096448
-
Tensor decompositions and applications
-
Kolda, T.G., Bader, B.W.: Tensor decompositions and applications. SIAM Rev. 51(3), 455-500 (2009)
-
(2009)
SIAM Rev.
, vol.51
, Issue.3
, pp. 455-500
-
-
Kolda, T.G.1
Bader, B.W.2
-
21
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788-791 (1999)
-
(1999)
Nature
, vol.401
, Issue.6755
, pp. 788-791
-
-
Lee, D.D.1
Seung, H.S.2
-
22
-
-
84898964201
-
Algorithms for non-negative matrix factorization
-
MIT Press, Cambridge
-
Lee, D.D., Seung, H.S.: Algorithms for non-negative matrix factorization. In: Advances in Neural Information Processing Systems, vol. 13, pp. 556-562. MIT Press, Cambridge (2001)
-
(2001)
Advances in Neural Information Processing Systems
, vol.13
, pp. 556-562
-
-
Lee, D.D.1
Seung, H.S.2
-
23
-
-
70349696077
-
Nonnegative approximations of nonnegative tensors
-
Lim, L.H., Comon, P.: Nonnegative approximations of nonnegative tensors. J. Chem., 23(7-8), 432-441 (2009)
-
(2009)
J. Chem.
, vol.23
, Issue.7-8
, pp. 432-441
-
-
Lim, L.H.1
Comon, P.2
-
24
-
-
0030775193
-
A weighted non-negative least squares algorithm for three-way PARAFAC factor analysis
-
Paatero, P.: A weighted non-negative least squares algorithm for three-way PARAFAC factor analysis. Chemom. Intell. Lab. Syst. 38(2), 223-242 (1997)
-
(1997)
Chemom. Intell. Lab. Syst.
, vol.38
, Issue.2
, pp. 223-242
-
-
Paatero, P.1
-
25
-
-
0033275630
-
The multilinear engine: A table-driven, least squares program for solving multilinear problems, including the n-way parallel factor analysis model
-
Paatero, P.: The multilinear engine: A table-driven, least squares program for solving multilinear problems, including the n-way parallel factor analysis model. J. Comput. Graph. Stat. 8, 854-888 (1999)
-
(1999)
J. Comput. Graph. Stat.
, vol.8
, pp. 854-888
-
-
Paatero, P.1
-
26
-
-
0028561099
-
Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values
-
Paatero, P., Tapper, U.: Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values. EnvironMetrics 5(1), 111-126 (1994)
-
(1994)
EnvironMetrics
, vol.5
, Issue.1
, pp. 111-126
-
-
Paatero, P.1
Tapper, U.2
-
27
-
-
31844432834
-
Non-negative tensor factorization with applications to statistics and computer vision
-
ACM, New York
-
Shashua, A., Hazan, T.: Non-negative tensor factorization with applications to statistics and computer vision. In: ICML '05: Proceedings of the 22nd International Conference on Machine Learning, pp. 792-799. ACM, New York (2005). doi: http://doi.acm.org/10.1145/1102351.1102451
-
(2005)
ICML '05: Proceedings of the 22nd International Conference on Machine Learning
, pp. 792-799
-
-
Shashua, A.1
Hazan, T.2
-
28
-
-
24944500827
-
Fast algorithm for the solution of large-scale nonnegativity-constrained least squares problems
-
Van Benthem, M.H., Keenan, M.R.: Fast algorithm for the solution of large-scale nonnegativity-constrained least squares problems. J. Chem. 18, 441-450 (2004). doi:10.1002/cem.889
-
(2004)
J. Chem.
, vol.18
, pp. 441-450
-
-
Van Benthem, M.H.1
Keenan, M.R.2
-
29
-
-
0034861343
-
Positive tensor factorization
-
Welling, M., Weber, M.: Positive tensor factorization. Pattern Recognit. Lett. 22(12), 1255-1261 (2001). doi:10.1016/S0167-8655(01)00070-8
-
(2001)
Pattern Recognit. Lett.
, vol.22
, Issue.12
, pp. 1255-1261
-
-
Welling, M.1
Weber, M.2
|