-
4
-
-
84863899797
-
Sparse bayesian methods for low-rank matrix estimation
-
S. D. Babacan,M. Luessi, R.Molina, and A. K. Katsaggelos. Sparse Bayesian methods for low-rank matrix estimation. IEEE Trans. on Signal Processing, 60(8):3964-3977, 2012.
-
(2012)
IEEE Trans. on Signal Processing
, vol.60
, Issue.8
, pp. 3964-3977
-
-
Babacan, M.1
Luessi, S.D.2
Molina, R.3
Katsaggelos, A.K.4
-
6
-
-
0000013152
-
On the statistical analysis of dirty pictures
-
J. Besag. On the statistical analysis of dirty pictures. Journal of the Royal Statistical Society B, 48: 259-302, 1986.
-
(1986)
Journal of the Royal Statistical Society B
, vol.48
, pp. 259-302
-
-
Besag, J.1
-
7
-
-
0001865864
-
Variational principal components
-
C. M. Bishop. Variational principal components. In Proc. of ICANN, volume 1, pages 514-509, 1999.
-
(1999)
Proc. of ICANN
, vol.1
, pp. 514-509
-
-
Bishop, C.M.1
-
9
-
-
77951291046
-
A singular value thresholding algorithm for matrix completion
-
J. F. Cai, E. J. Candes, and Z. Shen. A singular value thresholding algorithm for matrix completion. SIAM Journal on Optimization, 20(4):1956-1982, 2010.
-
(2010)
SIAM Journal on Optimization
, vol.20
, Issue.4
, pp. 1956-1982
-
-
Cai, J.F.1
Candes, E.J.2
Shen, Z.3
-
11
-
-
34250499792
-
Analysis of individual differences in multidimensional scaling via an n-way generalization of 'eckart-young' decomposition
-
J. D. Carroll and J. J. Chang. Analysis of individual differences in multidimensional scaling via an N-way generalization of 'Eckart-Young' decomposition. Psychometrika, 35:283-319, 1970.
-
(1970)
Psychometrika
, vol.35
, pp. 283-319
-
-
Carroll, J.D.1
Chang, J.J.2
-
12
-
-
10044285992
-
-
D. R. Hardoon, S. R. Szedmak, and J. R. Shawe-Taylor. Canonical correlation analysis: An overview with application to learning methods. Neural Computation 16122639-2664
-
S. Funk. Try this at home. http://sifter.org/simon/journal/20061211.html, 2006. D. R. Hardoon, S. R. Szedmak, and J. R. Shawe-Taylor. Canonical correlation analysis: An overview with application to learning methods. Neural Computation, 16(12):2639-2664, 2004.
-
(2006)
Try this at home
, pp. 2004
-
-
Funk, S.1
-
13
-
-
0002740437
-
Foundations of the parafac procedure: Models and conditions for an explanatory multimodal factor analysis
-
R. A. Harshman. Foundations of the parafac procedure: Models and conditions for an "explanatory" multimodal factor analysis. UCLA Working Papers in Phonetics, 16:1-84, 1970.
-
(1970)
UCLA Working Papers in Phonetics
, vol.16
, pp. 1-84
-
-
Harshman, R.A.1
-
15
-
-
58149421595
-
Analysis of a complex of statistical variables into principal components
-
H. Hotelling. Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology, 24:417-441, 1933.
-
(1933)
Journal of Educational Psychology
, vol.24
, pp. 417-441
-
-
Hotelling, H.1
-
16
-
-
0000107975
-
Relations between two sets of variates
-
H. Hotelling. Relations between two sets of variates. Biometrika, 28(3-4):321-377, 1936.
-
(1936)
Biometrika
, vol.28
, Issue.3-4
, pp. 321-377
-
-
Hotelling, H.1
-
19
-
-
0001486499
-
-
Berkeley, CA., USA,University of California Press
-
W. James and C. Stein. Estimation with quadratic loss. In Proceedings of the 4th Berkeley Sympo- sium on Mathematical Statistics and Probability, volume 1, pages 361-379, Berkeley, CA., USA, 1961. University of California Press.
-
(1961)
Estimation With Quadratic Loss Proceedings Of The 4Th Berkeley Symposium On Mathematical Statistics And Probability
, vol.1
, pp. 361-379
-
-
James, W.1
Stein, C.2
-
22
-
-
68649096448
-
Tensor decompositions and applications
-
T. G. Kolda and B. W. Bader. Tensor decompositions and applications. SIAM Review, 51(3):455- 500, 2009.
-
(2009)
SIAM Review
, vol.51
, Issue.3
, pp. 455-500
-
-
Kolda, T.G.1
Bader, B.W.2
-
23
-
-
0031103122
-
Applying collaborative filtering to usenet news
-
J. A. Konstan, B. N. Miller, D. Maltz, J. L. Herlocker, L. R. Gordon, and J. Riedl. Grouplens: Applying collaborative filtering to Usenet news. Communications of the ACM, 40(3):77-87, 1997. (Pubitemid 127441134)
-
(1997)
Communications of the ACM
, vol.40
, Issue.3
, pp. 77-87
-
-
Konstan, J.A.1
Miller, B.N.2
Maltz, D.3
Herlocker, J.L.4
Gordon, L.R.5
Riedl, J.6
-
28
-
-
84873454022
-
Variational bayesian algorithm for relational tensor factorization
-
Under Preparation, 2012. S. Nakajima and M. Sugiyama. Theoretical analysis of Bayesian matrix factorization
-
S. Nakajima. Variational Bayesian algorithm for relational tensor factorization. Under Preparation, 2012. S. Nakajima and M. Sugiyama. Theoretical analysis of Bayesian matrix factorization. Journal of Machine Learning Research, 12:2579-2644, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2579-2644
-
-
Nakajima, S.1
-
29
-
-
85161979138
-
Global analytic solution for variational bayesian matrix factorization
-
S. Nakajima, M. Sugiyama, and R. Tomioka. Global analytic solution for variational Bayesian matrix factorization. In Advances in Neural Information Processing Systems 23, pages 1759- 1767, 2010.
-
Advances in Neural Information Processing Systems
, vol.23
, Issue.2010
, pp. 1759-1767
-
-
Nakajima, S.1
Sugiyama, M.2
Tomioka, R.3
-
32
-
-
84877756389
-
Babacan. Perfect dimensionality recovery by variational bayesian pca
-
S. Nakajima, R. Tomioka, M. Sugiyama, and S. D. Babacan. Perfect dimensionality recovery by variational Bayesian PCA. In Advances in Neural Information Processing Systems 25, 2012b.
-
Advances in Neural Information Processing Systems
, vol.25
, pp. 2012
-
-
Nakajima, S.1
Tomioka, R.2
Sugiyama, M.3
Babacan, S.D.4
-
33
-
-
57949113756
-
Improving regularized singular value decomposition for collaborative filtering
-
A. Paterek. Improving regularized singular value decomposition for collaborative filtering. In Proceedings of KDD Cup and Workshop, 2007.
-
(2007)
Proceedings of KDD Cup and Workshop
-
-
Paterek, A.1
-
36
-
-
84873423444
-
Overview and recent advances in partial least squares
-
R. Rosipal and N. Kramer. Overview and recent advances in partial least squares. In C. Saunders,
-
Inc Saunders
-
-
Rosipal, R.1
Kramer, N.2
-
38
-
-
84873434054
-
-
Lecture Notes in Computer Science Berlin Springer
-
Selection Techniques, volume 3940 of Lecture Notes in Computer Science, pages 34-51, Berlin, 2006. Springer.
-
(2006)
Selection Techniques
, vol.3940
, pp. 34-51
-
-
-
39
-
-
0039433186
-
Perturbation bounds for means of eigenvalues and invariant subspaces
-
A. Ruhe. Perturbation bounds for means of eigenvalues and invariant subspaces. BIT Numerical Mathematics, 10:343-354, 1970.
-
(1970)
BIT Numerical Mathematics
, vol.10
, pp. 343-354
-
-
Ruhe, A.1
-
40
-
-
85161989354
-
Probabilistic matrix factorization
-
In J. C. Platt, D. Koller, Y. Singer, and S. Roweis, editors Cambridge, MA, 2008. MIT Press.
-
R. Salakhutdinov and A.Mnih. Probabilistic matrix factorization. In J. C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20, pages 1257- 1264, Cambridge, MA, 2008. MIT Press.
-
Advances in Neural Information Processing Systems
, vol.20
, pp. 1257-1264
-
-
Salakhutdinov, R.1
Mnih, A.2
-
41
-
-
84898989677
-
Fast variational bayesian inference for non-conjugate matrix factorization models
-
La Palma, Spain
-
M. Seeger and G. Bouchard. Fast variational Bayesian inference for non-conjugate matrix factorization models. In Proc. of AISTATS, La Palma, Spain, 2012.
-
Proc. of AISTATS
, vol.2012
-
-
Seeger, M.1
Bouchard, G.2
-
43
-
-
0027879547
-
On the early history of the singular value decomposition
-
G. W. Stewart. On the early history of the singular value decomposition. SIAM Review, 35(4): 551-556, 1993.
-
(1993)
SIAM Review
, vol.35
, Issue.4
, pp. 551-556
-
-
Stewart, G.W.1
-
46
-
-
0013953617
-
Some mathematical notes on three-mode factor analysis
-
L. R. Tucker. Some mathematical notes on three-mode factor analysis. Psychometrika, 31:279-311, 1996.
-
(1996)
Psychometrika
, vol.31
, pp. 279-311
-
-
Tucker, L.R.1
-
48
-
-
0031279853
-
Characterizing the response of PET and fMRI data using multivariate linear models
-
DOI 10.1006/nimg.1997.0294
-
K. J. Worsley, J-B. Poline, K. J. Friston, and A. C. Evanss. Characterizing the response of PET and fMRI data using multivariate linear models. NeuroImage, 6(4):305-319, 1997. (Pubitemid 28018719)
-
(1997)
NeuroImage
, vol.6
, Issue.4
, pp. 305-319
-
-
Worsley, K.J.1
Poline, J.-B.2
Friston, K.J.3
Evans, A.C.4
|