-
2
-
-
84858775623
-
Covariance estimation for high dimensional data vectors using the sparse matrix transform
-
G. Cao and C.A. Bouman. Covariance estimation for high dimensional data vectors using the sparse matrix transform. In Advances in Neural Information Processing Systems, 2008.
-
(2008)
Advances in Neural Information Processing Systems
-
-
Cao, G.1
Bouman, C.A.2
-
3
-
-
66549093404
-
Treelets An adaptive multi-scale basis for sparse unordered data
-
A.B. Lee, B. Nadler, and L.Wasserman. Treelets An adaptive multi-scale basis for sparse unordered data. The Annals of Applied Statistics, 2(2):435-471, 2008.
-
(2008)
The Annals of Applied Statistics
, vol.2
, Issue.2
, pp. 435-471
-
-
Lee, A.B.1
Nadler, B.2
Wasserman, L.3
-
4
-
-
77956556554
-
Multiscale wavelets on trees, graphs and high dimensional data: Theory and applications to semi supervised learning
-
M. Gavish, B. Nadler, and R.R. Coifman. Multiscale wavelets on trees, graphs and high dimensional data: Theory and applications to semi supervised learning. In International Conference on Machine Learning, 2010.
-
(2010)
International Conference on Machine Learning
-
-
Gavish, M.1
Nadler, B.2
Coifman, R.R.3
-
6
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
S.T. Roweis and L.K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323, 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323
-
-
Roweis, S.T.1
Saul, L.K.2
-
7
-
-
0030779611
-
Sparse coding with an overcomplete basis set: A strategy employed by V1?
-
B.A. Olshausen and D.J. Field. Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision research, 37(23):3311-3325, 1997.
-
(1997)
Vision Research
, vol.37
, Issue.23
, pp. 3311-3325
-
-
Olshausen, B.A.1
Field, D.J.2
-
8
-
-
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, 31(2):210-227, 2008.
-
(2008)
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
-
10
-
-
3242708140
-
Least angle regression
-
B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani. Least angle regression. Annals of Statistics, pages 407-451, 2004.
-
(2004)
Annals of Statistics
, pp. 407-451
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
11
-
-
76749107542
-
Online learning for matrix factorization and sparse coding
-
J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online learning for matrix factorization and sparse coding. The Journal of Machine Learning Research, 11:19-60, 2010.
-
(2010)
The Journal of Machine Learning Research
, vol.11
, pp. 19-60
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
-
12
-
-
84864036295
-
Efficient sparse coding algorithms
-
H. Lee, A. Battle, R. Raina, and A.Y. Ng. Efficient sparse coding algorithms. In Advances in Neural Information Processing Systems, volume 19, page 801, 2007.
-
(2007)
Advances in Neural Information Processing Systems
, vol.19
, pp. 801
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.Y.4
-
14
-
-
84860649881
-
-
Arxiv preprint arXiv:1011.2234
-
R. Tibshirani, J. Bien, J. Friedman, T. Hastie, N. Simon, J. Taylor, and R.J. Tibshirani. Strong rules for discarding predictors in lasso-type problems. Arxiv preprint arXiv:1011.2234, 2010.
-
(2010)
Strong Rules for Discarding Predictors in Lasso-type Problems
-
-
Tibshirani, R.1
Bien, J.2
Friedman, J.3
Hastie, T.4
Simon, N.5
Taylor, J.6
Tibshirani, R.J.7
-
15
-
-
77952717202
-
Sparse representation for computer vision and pattern recognition
-
J. Wright, Y. Ma, J. Mairal, G. Sapiro, T. Huang, and S. Yan. Sparse representation for computer vision and pattern recognition. Proceedings of the IEEE, 98(6):1031-1044, 2010.
-
(2010)
Proceedings of the IEEE
, vol.98
, Issue.6
, pp. 1031-1044
-
-
Wright, J.1
Ma, Y.2
Mairal, J.3
Sapiro, G.4
Huang, T.5
Yan, S.6
-
18
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
G.E. Hinton, S. Osindero, and Y.W. Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18(7):1527-1554, 2006.
-
(2006)
Neural Computation
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.W.3
-
20
-
-
33646014913
-
Highresolution navigation on non-differentiable image manifolds
-
M.B.Wakin, D.L. Donoho, H. Choi, and R.G. Baraniuk. Highresolution navigation on non-differentiable image manifolds. In IEEE International Conference on Acoustics, Speech and Signal Processing, volume 5, pages 1073-1076, 2005.
-
(2005)
IEEE International Conference on Acoustics, Speech and Signal Processing
, vol.5
, pp. 1073-1076
-
-
Wakin, M.B.1
Donoho, D.L.2
Choi, H.3
Baraniuk, R.G.4
-
21
-
-
48149091763
-
Multiscale random projections for compressive classification
-
M.F. Duarte, M.A. Davenport, M.B. Wakin, JN Laska, D. Takhar, K.F. Kelly, and RG Baraniuk. Multiscale random projections for compressive classification. In IEEE International Conference on Image Processing, volume 6, 2007.
-
(2007)
IEEE International Conference on Image Processing
, vol.6
-
-
Duarte, M.F.1
Davenport, M.A.2
Wakin, M.B.3
Laska, J.N.4
Takhar, D.5
Kelly, K.F.6
Baraniuk, R.G.7
-
22
-
-
0027798110
-
Embedded image coding using zerotrees of wavelet coefficients
-
J.M. Shapiro. Embedded image coding using zerotrees of wavelet coefficients. IEEE Transactions on Signal Processing, 41(12):3445-3462, 2002.
-
(2002)
IEEE Transactions on Signal Processing
, vol.41
, Issue.12
, pp. 3445-3462
-
-
Shapiro, J.M.1
-
23
-
-
0003840341
-
Columbia object image library (coil-100)
-
dept. Comp. Science, Columbia University
-
S.A. Nene, S.K. Nayar, and H. Murase. Columbia object image library (coil-100). Techn. Rep. No. CUCS-006-96, dept. Comp. Science, Columbia University, 1996.
-
(1996)
Techn. Rep. No. CUCS-006-96
-
-
Nene, S.A.1
Nayar, S.K.2
Murase, H.3
-
24
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
nov...
-
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, nov 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
25
-
-
0035363672
-
From few to many: Illumination cone models for face recognition under variable lighting and pose
-
A.S. Georghiades, P.N. Belhumeur, and D.J. Kriegman. From few to many: Illumination cone models for face recognition under variable lighting and pose. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6):643-660, 2002.
-
(2002)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.23
, Issue.6
, pp. 643-660
-
-
Georghiades, A.S.1
Belhumeur, P.N.2
Kriegman, D.J.3
-
27
-
-
50949133669
-
LIBLINEAR: A library for large linear classification
-
R.E. Fan, K.W. Chang, C.J. Hsieh, X.R. Wang, and C.J. Lin. LIBLINEAR: A library for large linear classification. The Journal of Machine Learning Research, 9:1871-1874, 2008.
-
(2008)
The Journal of Machine Learning Research
, vol.9
, pp. 1871-1874
-
-
Fan, R.E.1
Chang, K.W.2
Hsieh, C.J.3
Wang, X.R.4
Lin, C.J.5
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