-
1
-
-
33947519939
-
Face recognition using localized features based on non-negative sparse coding
-
Shastri B.J., and Levine M.D. Face recognition using localized features based on non-negative sparse coding. Mach. Vision Appl. 18 2 (2007) 107-122
-
(2007)
Mach. Vision Appl.
, vol.18
, Issue.2
, pp. 107-122
-
-
Shastri, B.J.1
Levine, M.D.2
-
2
-
-
44649180281
-
-
T. Chan, S. Esedoglu, F. Park, A. Yip, Recent developments in total variation image restoration, in: Handbook of Mathematical Models in Computer Vision, Springer-Verlag, 2005, pp. 17-30.
-
T. Chan, S. Esedoglu, F. Park, A. Yip, Recent developments in total variation image restoration, in: Handbook of Mathematical Models in Computer Vision, Springer-Verlag, 2005, pp. 17-30.
-
-
-
-
3
-
-
0028416938
-
Independent component analysis a new concept?
-
Comon P. Independent component analysis a new concept?. Signal Process. 36 (1994) 287-314
-
(1994)
Signal Process.
, vol.36
, pp. 287-314
-
-
Comon, P.1
-
5
-
-
0032182894
-
Data compression and harmonic analysis
-
Donoho D.L., Vetterli M., DeVore R.A., and Daubechies I. Data compression and harmonic analysis. IEEE Trans. Inf. Theory 44 6 (1998) 2435-2476
-
(1998)
IEEE Trans. Inf. Theory
, vol.44
, Issue.6
, pp. 2435-2476
-
-
Donoho, D.L.1
Vetterli, M.2
DeVore, R.A.3
Daubechies, I.4
-
6
-
-
44649083541
-
-
E.F. Gonzales, Y. Zhang, Accelerating the Lee-Seung algorithm for non-negative matrix factorization, Technical Report, Department of Computational and Applied Mathematics, Rice University, 2005.
-
E.F. Gonzales, Y. Zhang, Accelerating the Lee-Seung algorithm for non-negative matrix factorization, Technical Report, Department of Computational and Applied Mathematics, Rice University, 2005.
-
-
-
-
7
-
-
84857841726
-
-
P.O. Hoyer, Non-negative sparse coding, in: Proceedings of IEEE Workshop on Neural Networks for Signal Processing, 2002.
-
P.O. Hoyer, Non-negative sparse coding, in: Proceedings of IEEE Workshop on Neural Networks for Signal Processing, 2002.
-
-
-
-
8
-
-
84900510076
-
Nonnegative matrix factorization with sparseness constraints
-
Hoyer P.O. Nonnegative matrix factorization with sparseness constraints. J. Mach. Learn. Res. 5 (2004) 1457-1469
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 1457-1469
-
-
Hoyer, P.O.1
-
9
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
Lee D.D., and Seung H.S. 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
-
10
-
-
44649086075
-
-
D.D. Lee, H.S. Seung, Algorithms for non-negative matrix factorization, Process. Adv. Neural Inform. (2000).
-
D.D. Lee, H.S. Seung, Algorithms for non-negative matrix factorization, Process. Adv. Neural Inform. (2000).
-
-
-
-
11
-
-
84945116550
-
Sliced inverse regression for dimension reduction
-
Li K.C. Sliced inverse regression for dimension reduction. J. Am. Stat. Assoc. 86 (1991) 316-342
-
(1991)
J. Am. Stat. Assoc.
, vol.86
, pp. 316-342
-
-
Li, K.C.1
-
12
-
-
0035683536
-
-
S.Z. Li, X.W. Hou, H.J. Zhang, Q.S. Cheng, Learning spatially localized, parts-based representation, IEEE Comput. Vision Pattern Recognition (2001).
-
S.Z. Li, X.W. Hou, H.J. Zhang, Q.S. Cheng, Learning spatially localized, parts-based representation, IEEE Comput. Vision Pattern Recognition (2001).
-
-
-
-
14
-
-
35548969471
-
Projected gradient methods for non-negative matrix factorization
-
Lin C.-J. Projected gradient methods for non-negative matrix factorization. Neural Comput. 19 (2007) 2756-2779
-
(2007)
Neural Comput.
, vol.19
, pp. 2756-2779
-
-
Lin, C.-J.1
-
15
-
-
36348966695
-
On the convergence of multiplicative update algorithm for non-negative matrix factorization
-
Lin C.-J. On the convergence of multiplicative update algorithm for non-negative matrix factorization. IEEE Trans. Neural Networks 18 6 (2007) 1589-1596
-
(2007)
IEEE Trans. Neural Networks
, vol.18
, Issue.6
, pp. 1589-1596
-
-
Lin, C.-J.1
-
16
-
-
44649127162
-
-
L. Rudin, Images, numerical analysis of singularities and shock filters, Caltech, C.S. Dept. Report TR: 5250:87, 1987.
-
L. Rudin, Images, numerical analysis of singularities and shock filters, Caltech, C.S. Dept. Report TR: 5250:87, 1987.
-
-
-
-
17
-
-
44049111982
-
Nonlinear total variation based noise removal algorithms
-
Rudin L.I., Osher S., and Fatemi E. Nonlinear total variation based noise removal algorithms. Physica D 60 (1992) 259-268
-
(1992)
Physica D
, vol.60
, pp. 259-268
-
-
Rudin, L.I.1
Osher, S.2
Fatemi, E.3
-
18
-
-
0028734063
-
-
F. Samaria, A. Harter, Parameterisation of a stochastic model for human face identification, in: Proceedings of 2nd IEEE Workshop on Applications of Computer Vision, Sarasota, FL, December 1994.
-
F. Samaria, A. Harter, Parameterisation of a stochastic model for human face identification, in: Proceedings of 2nd IEEE Workshop on Applications of Computer Vision, Sarasota, FL, December 1994.
-
-
-
-
19
-
-
0346316863
-
Edge-preserving and scale-dependent properties of total variation regularization
-
Strong D., and Chan T. Edge-preserving and scale-dependent properties of total variation regularization. Inverse Problems 19 (2003) 165-187
-
(2003)
Inverse Problems
, vol.19
, pp. 165-187
-
-
Strong, D.1
Chan, T.2
-
20
-
-
36048992886
-
General tensor discriminant analysis and Gabor features for gait recognition
-
Tao D., Li X., Wu X., and Maybank S.J. General tensor discriminant analysis and Gabor features for gait recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29 10 (2007) 1700-1715
-
(2007)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.29
, Issue.10
, pp. 1700-1715
-
-
Tao, D.1
Li, X.2
Wu, X.3
Maybank, S.J.4
-
21
-
-
36148990993
-
Supervised tensor learning
-
Tao D., Li X., Hu W., Maybank S.J., and Wu X. Supervised tensor learning. Knowledge Inf. Syst. (Springer: KAIS) 13 1 (2007) 1-42
-
(2007)
Knowledge Inf. Syst. (Springer: KAIS)
, vol.13
, Issue.1
, pp. 1-42
-
-
Tao, D.1
Li, X.2
Hu, W.3
Maybank, S.J.4
Wu, X.5
-
22
-
-
55149110540
-
-
D. Tao, M. Song, X. Li, J. Shen, J. Sun, X. Wu, C. Faloutsos, S.J. Maybank, Bayesian tensor approach for 3D face modelling, IEEE Trans. Circuits Syst. Video Technol. 18 (2008), in press.
-
D. Tao, M. Song, X. Li, J. Shen, J. Sun, X. Wu, C. Faloutsos, S.J. Maybank, Bayesian tensor approach for 3D face modelling, IEEE Trans. Circuits Syst. Video Technol. 18 (2008), in press.
-
-
-
-
24
-
-
22344432455
-
Fisher non-negative matrix factorization for learning local features
-
Wang Y., Jia Y., Hu C., and Turk M. Fisher non-negative matrix factorization for learning local features. Int. J. Pattern Recognition Artif. Intell. 19 4 (2005) 495-511
-
(2005)
Int. J. Pattern Recognition Artif. Intell.
, vol.19
, Issue.4
, pp. 495-511
-
-
Wang, Y.1
Jia, Y.2
Hu, C.3
Turk, M.4
-
25
-
-
85199259629
-
-
B. Weyrauch, J. Huang, B. Heisele, V. Blanz, Component-based face recognition with 3D morphable models, in: First IEEE Workshop on Face Processing in Video, Washington, DC, 2004.
-
B. Weyrauch, J. Huang, B. Heisele, V. Blanz, Component-based face recognition with 3D morphable models, in: First IEEE Workshop on Face Processing in Video, Washington, DC, 2004.
-
-
-
|