-
2
-
-
0031651559
-
Eigentracking: Robust matching and tracking of articulated objects using a view-based representation
-
Black, M., & Jepson, A. (1998). Eigentracking: Robust matching and tracking of articulated objects using a view-based representation. International Journal of Computer Vision, 26(1), 63-84.
-
(1998)
International Journal of Computer Vision
, vol.26
, Issue.1
, pp. 63-84
-
-
Black, M.1
Jepson, A.2
-
5
-
-
29144439194
-
Decoding by linear programming
-
Candes, E., & Tao, T. (2005). Decoding by linear programming. IEEE Trans. on Information Theory, 51(12), 4203-4215.
-
(2005)
IEEE Trans. on Information Theory
, vol.51
, Issue.12
, pp. 4203-4215
-
-
Candes, E.1
Tao, T.2
-
6
-
-
0036941556
-
Discriminant waveletfaces and nearest feature classifiers for face recognition
-
Chien, J., &Wu, C. (2002). Discriminant waveletfaces and nearest feature classifiers for face recognition. IEEE Trans. on Pattern Analysis andMachine Intelligence, 24(12), 1644-1649.
-
(2002)
IEEE Trans. on Pattern Analysis andMachine Intelligence
, vol.24
, Issue.12
, pp. 1644-1649
-
-
Chien, J.1
Wu, C.2
-
8
-
-
0035729565
-
Robust linear discrimination analysis using sestimators
-
Croux, C., & Dehon, C. (2001). Robust linear discrimination analysis using sestimators. Canadian J. Statistics, 29, 473-492.
-
(2001)
Canadian J. Statistics
, vol.29
, pp. 473-492
-
-
Croux, C.1
Dehon, C.2
-
9
-
-
33749255817
-
R1-PCA: Rotational invariant l1-norm principal component analysis for robust subspace factorization
-
New York: ACM
-
Ding, C., Zhou, D., He, X., & Zha, H. (2006). R1-PCA: Rotational invariant l1-norm principal component analysis for robust subspace factorization. In Proceedings of the 23rd International Conference on Machine Learning. New York: ACM.
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning
-
-
Ding, C.1
Zhou, D.2
He, X.3
Zha, H.4
-
11
-
-
33646365077
-
For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution
-
Donoho, D. (2006b). For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution. Communications on Pure and Applied Mathematics, 59(6), 797-829.
-
(2006)
Communications on Pure and Applied Mathematics
, vol.59
, Issue.6
, pp. 797-829
-
-
Donoho, D.1
-
12
-
-
0035363672
-
From few to many: Illumination cone models for face recognition under variable lighting and pose
-
Georghiades, A., Belhumeur, P., & Kriegman, D. (2001). From few to many: Illumination cone models for face recognition under variable lighting and pose. IEEE Trans. on Pattern Analysis and Machine Intelligence, 23(6), 643-660.
-
(2001)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.23
, Issue.6
, pp. 643-660
-
-
Georghiades, A.1
Belhumeur, P.2
Kriegman, D.3
-
14
-
-
0031499747
-
High-breakdown linear discriminant analysis
-
Hawkins, D.,&McLachlan, G. (1997). High-breakdown linear discriminant analysis. J. Am. Statistical Assoc., 92, 136-143.
-
(1997)
J. Am. Statistical Assoc.
, vol.92
, pp. 136-143
-
-
Hawkins, D.1
McLachlan, G.2
-
15
-
-
57949104678
-
Nearest feature line: A tangent approximation
-
San Mateo, CA: IEEE Computer Society
-
He, R., Ao, M., Xiang, S., & Li, S. (2008). Nearest feature line: A tangent approximation. In Proceedings of the Chinese Conference on Pattern Recognition. San Mateo, CA: IEEE Computer Society.
-
(2008)
Proceedings of the Chinese Conference on Pattern Recognition
-
-
He, R.1
Ao, M.2
Xiang, S.3
Li, S.4
-
17
-
-
77952546541
-
Principal component analysis based on nonparametric maximum entropy
-
He, R., Hu, B., Yuan, X., & Zheng,W. (2010). Principal component analysis based on nonparametric maximum entropy. Neurocomputing, 73, 1840-1852.
-
(2010)
Neurocomputing
, vol.73
, pp. 1840-1852
-
-
He, R.1
Hu, B.2
Yuan, X.3
Zheng, W.4
-
18
-
-
0011908457
-
High breakdown estimation for multiple populations with applications to discriminant analysis
-
He, X., & Fung, W. (2000). High breakdown estimation for multiple populations with applications to discriminant analysis. Multivariate Analysis, 72(2), 151-162.
-
(2000)
Multivariate Analysis
, vol.72
, Issue.2
, pp. 151-162
-
-
He, X.1
Fung, W.2
-
19
-
-
0019022335
-
Multivariant technique for multiclass pattern recognition
-
Hester, C., & Casasent, D. (1980). Multivariant technique for multiclass pattern recognition. Appl. Opt., 19, 1758-1761.
-
(1980)
Appl. Opt.
, vol.19
, pp. 1758-1761
-
-
Hester, C.1
Casasent, D.2
-
22
-
-
58249092004
-
The correntropy MACE filter
-
Jeong, K., Liu, W., Han, S., Hasanbelliu, E., & Principe, J. (2009). The correntropy MACE filter. Pattern Recognition, 42(5), 871-885.
-
(2009)
Pattern Recognition
, vol.42
, Issue.5
, pp. 871-885
-
-
Jeong, K.1
Liu, W.2
Han, S.3
Hasanbelliu, E.4
Principe, J.5
-
23
-
-
55949131580
-
Enhancing the correntropy MACE filter with random projections
-
Jeong, K., & Principe, J. (2008). Enhancing the correntropy MACE filter with random projections. Neurocomputing, 72, 102-111.
-
(2008)
Neurocomputing
, vol.72
, pp. 102-111
-
-
Jeong, K.1
Principe, J.2
-
26
-
-
84975551839
-
Minimum variance synthetic discriminant functions
-
Kumar, B. (1986). Minimum variance synthetic discriminant functions. J. Opt. Soc. Am., A3(10), 1579-1584.
-
(1986)
J. Opt. Soc. Am.
, vol.A3
, Issue.10
, pp. 1579-1584
-
-
Kumar, B.1
-
27
-
-
84975646121
-
Tutorial survey of composite filter designs for optical correlators
-
Kumar, B.V. (1992). Tutorial survey of composite filter designs for optical correlators. Appl. Opt., 31, 4773-4801.
-
(1992)
Appl. Opt.
, vol.31
, pp. 4773-4801
-
-
Kumar, B.V.1
-
28
-
-
33947370895
-
Correlation pattern recognition for face recognition
-
Kumar, B. V., Savvides, M., & Xie, C. (2006). Correlation pattern recognition for face recognition. Proc. IEEE, 94(11), 1963-1976.
-
(2006)
Proc. IEEE
, vol.94
, Issue.11
, pp. 1963-1976
-
-
Kumar, B.V.1
Savvides, M.2
Xie, C.3
-
29
-
-
48049103479
-
Principal component analysis based on l1-norm maximization
-
Kwak, N. (2008). Principal component analysis based on l1-norm maximization. IEEE Trans. on Pattern Analysis and Machine Intelligence, 30(9), 1672-1677.
-
(2008)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.30
, Issue.9
, pp. 1672-1677
-
-
Kwak, N.1
-
30
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278-2324.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
31
-
-
84864036295
-
Efficient sparse coding algorithms
-
B. Schólkopf, J. Platt, & T. Hoffman (Eds.), Cambridge, MA: MIT Press
-
Lee, H., Battle, A., Raina, R., & Ng, A. (2006). Efficient sparse coding algorithms. In B. Schólkopf, J. Platt, & T. Hoffman (Eds.), Neural information processing systems, 19 (pp. 801-808). Cambridge, MA: MIT Press.
-
(2006)
Neural information processing systems
, vol.19
, pp. 801-808
-
-
Lee, H.1
Battle, A.2
Raina, R.3
Ng, A.4
-
32
-
-
18144420071
-
Acquiring linear subspaces for face recognition under variable lighting
-
Lee, K. C., Ho, J., & Kriegman, D. (2005). Acquiring linear subspaces for face recognition under variable lighting. IEEE Trans. on Pattern Analysis and Machine Intelligence, 27(5), 684-698.
-
(2005)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.5
, pp. 684-698
-
-
Lee, K.C.1
Ho, J.2
Kriegman, D.3
-
33
-
-
0033894632
-
Robust recognition using eigenimages
-
Leonardis, A.,& Bischof, H. (2000). Robust recognition using eigenimages. Computer Vision and Image Understanding, 78(1), 99-118.
-
(2000)
Computer Vision and Image Understanding
, vol.78
, Issue.1
, pp. 99-118
-
-
Leonardis, A.1
Bischof, H.2
-
35
-
-
0033096854
-
Face recognition using nearest feature linemethod
-
Li, S., & Lu, J. (1999). Face recognition using nearest feature linemethod. IEEE Trans. Neural Network, 10(2), 439-443.
-
(1999)
IEEE Trans. Neural Network
, vol.10
, Issue.2
, pp. 439-443
-
-
Li, S.1
Lu, J.2
-
36
-
-
40649084581
-
Correntropy: A localized similarity measure
-
San Mateo, CA: IEEE, Computer Society Press
-
Liu, W., Pokharel, P. P., & Principe, J. C. (2006). Correntropy: A localized similarity measure. In Proceedings of the International Joint Conference on Neural Networks. San Mateo, CA: IEEE, Computer Society Press.
-
(2006)
Proceedings of the International Joint Conference on Neural Networks
-
-
Liu, W.1
Pokharel, P.P.2
Principe, J.C.3
-
37
-
-
36249029853
-
Correntropy: Properties and applications in nongaussian signal processing
-
Liu,W., Pokharel, P., & Principe, J. (2007). Correntropy: Properties and applications in nongaussian signal processing. IEEE Trans. on Signal Processing, 55(11), 5286-5298.
-
(2007)
IEEE Trans. on Signal Processing
, vol.55
, Issue.11
, pp. 5286-5298
-
-
Liu, W.1
Pokharel, P.2
Principe, J.3
-
38
-
-
84958494216
-
Minimum average correlation energy filters
-
Mahalanobis, A., Kumar, B., & Casasent, D. (1987). Minimum average correlation energy filters. Appl. Opt., 26(17), 3633-3640.
-
(1987)
Appl. Opt.
, vol.26
, Issue.17
, pp. 3633-3640
-
-
Mahalanobis, A.1
Kumar, B.2
Casasent, D.3
-
39
-
-
39149089704
-
Sparse representation for color image restoration
-
Mairal, J., Elad, M., & Sapiro, G. (2008). Sparse representation for color image restoration. IEEE Trans. on Image Processing, 17(1), 53-69.
-
(2008)
IEEE Trans. on Image Processing
, vol.17
, Issue.1
, pp. 53-69
-
-
Mairal, J.1
Elad, M.2
Sapiro, G.3
-
40
-
-
0034266838
-
Robust linear and support vector regression
-
Mangasarian, O.,&Musicant,D. (2000). Robust linear and support vector regression. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(9), 950-955.
-
(2000)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.22
, Issue.9
, pp. 950-955
-
-
Mangasarian, O.1
Musicant, D.2
-
41
-
-
0036603236
-
Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class
-
Martinez, A. (2002). Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class. IEEE Trans. on Pattern Analysis and Machine Intelligence, 24(6), 748-763.
-
(2002)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.24
, Issue.6
, pp. 748-763
-
-
Martinez, A.1
-
43
-
-
0033907760
-
Robust computer vision: An interdisciplinary challenge
-
Meer, P., Stewart, C., & Tyler, D. (2000) Robust computer vision: An interdisciplinary challenge. Computer Vision and Image Understanding, 78, 1-7.
-
(2000)
Computer Vision and Image Understanding
, vol.78
, pp. 1-7
-
-
Meer, P.1
Stewart, C.2
Tyler, D.3
-
44
-
-
78149282850
-
Linear regression for face recognition
-
Naseem, I., Togneri, R., & Bennamoun, M. (2010). Linear regression for face recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence, 32, 2106-2112.
-
(2010)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.32
, pp. 2106-2112
-
-
Naseem, I.1
Togneri, R.2
Bennamoun, M.3
-
46
-
-
0031237427
-
Detectability, uniqueness, and reliability of eigen windows for stable verification of partially occluded objects
-
Ohba, K., & Ikeuchi, K. (1997). Detectability, uniqueness, and reliability of eigen windows for stable verification of partially occluded objects. IEEE Trans. on Pattern Analysis and Machine Intelligence, 9, 1043-1047.
-
(1997)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.9
, pp. 1043-1047
-
-
Ohba, K.1
Ikeuchi, K.2
-
47
-
-
0004001084
-
View-based and modular eigenspaces for face recognition (Tech. Rep. 245)
-
Cambridge, MA: MIT Media Lab
-
Pentland, A., Moghaddam, B.,&Straner, T. (1994). View-based and modular eigenspaces for face recognition (Tech. Rep. 245). Cambridge, MA: MIT Media Lab.
-
(1994)
-
-
Pentland, A.1
Moghaddam, B.2
Straner, T.3
-
48
-
-
67349144668
-
A low complexity robust detector in impulsive noise
-
Pokharel, P., Liu, W., & Principe, J. (2009). A low complexity robust detector in impulsive noise. Signal Processing, 89(10), 1902-1909.
-
(2009)
Signal Processing
, vol.89
, Issue.10
, pp. 1902-1909
-
-
Pokharel, P.1
Liu, W.2
Principe, J.3
-
50
-
-
0000986833
-
Information-theoretic learning
-
S. Haykin (Ed.), Hoboken, NJ: Wiley
-
Principe, J. C., Xu, D. X., & Fisher, J. W. (2000). Information-theoretic learning. In S. Haykin (Ed.), Unsupervised adaptive filtering (pp. 265-319). Hoboken, NJ: Wiley.
-
(2000)
Unsupervised adaptive filtering
, pp. 265-319
-
-
Principe, J.C.1
Xu, D.X.2
Fisher, J.W.3
-
51
-
-
0034245254
-
Learning from examples with information theoretic criteria
-
Principe, J., Xu, D., Zhao, Q., & Fisher, J. (2000). Learning from examples with information theoretic criteria. VLSI Signal Processing Systems, 26, 61-77.
-
(2000)
VLSI Signal Processing Systems
, vol.26
, pp. 61-77
-
-
Principe, J.1
Xu, D.2
Zhao, Q.3
Fisher, J.4
-
52
-
-
6244306027
-
Optimal trade-off filter for pattern recognition and their comparison with Weiner approach
-
Refregier, P., & Figue, J. (1991). Optimal trade-off filter for pattern recognition and their comparison with Weiner approach. Opt. Comput. Process., 1, 3-10.
-
(1991)
Opt. Comput. Process.
, vol.1
, pp. 3-10
-
-
Refregier, P.1
Figue, J.2
-
53
-
-
31644433509
-
Combining reconstructive and discriminative subspacemethods for robust classification and regression by subsampling
-
Sanja, F., Skocaj, D., & Leonardis, A. (2006). Combining reconstructive and discriminative subspacemethods for robust classification and regression by subsampling. IEEE Trans. on Pattern Analysis and Machine Intelligence, 28(3), 337-350.
-
(2006)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.3
, pp. 337-350
-
-
Sanja, F.1
Skocaj, D.2
Leonardis, A.3
-
54
-
-
33744538091
-
Generalized correlation function: Definition, properties, and application to blind equalization
-
Santamaria, I., Pokharel, P. P., & Principe, J. C. (2006). Generalized correlation function: Definition, properties, and application to blind equalization. IEEE Trans. on Signal Processing, 54(6), 2187-2197.
-
(2006)
IEEE Trans. on Signal Processing
, vol.54
, Issue.6
, pp. 2187-2197
-
-
Santamaria, I.1
Pokharel, P.P.2
Principe, J.C.3
-
56
-
-
0001287271
-
Regression shrinkage and selection via the Lasso
-
Tibshirani, R. (1996). Regression shrinkage and selection via the Lasso. Journal of the Royal Statistical Society B, 58(1), 267-288.
-
(1996)
Journal of the Royal Statistical Society B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
57
-
-
1942450610
-
Feature extraction by nonparametric mutual information maximization
-
Torkkola, K. (2003). Feature extraction by nonparametric mutual information maximization. Journal of Machine Learning Research, 3, 1415-1438.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1415-1438
-
-
Torkkola, K.1
-
58
-
-
0141742284
-
A framework for robust subspace learning
-
Torre, F., & Black, M. (2003). A framework for robust subspace learning. International Journal of Computer Vision, 54(1-3), 117-142.
-
(2003)
International Journal of Computer Vision
, vol.54
, Issue.1-3
, pp. 117-142
-
-
Torre, F.1
Black, M.2
-
60
-
-
77952553565
-
Empirical entropy manipulation for real-world problems
-
M. Mozer, M. I. Jordan, & T. Petsche (Eds.), Cambridge, MA: MIT Press
-
Viola, P., Schraudolph, N., & Sejnowski, T. (1995). Empirical entropy manipulation for real-world problems. In M. Mozer, M. I. Jordan, & T. Petsche (Eds.), Neural information processing systems, 9 (pp. 851-857). Cambridge, MA: MIT Press.
-
(1995)
Neural information processing systems
, vol.9
, pp. 851-857
-
-
Viola, P.1
Schraudolph, N.2
Sejnowski, T.3
-
61
-
-
77952717202
-
Sparse representation for computer vision and pattern recognition
-
Wright, J., Ma, Y., Mairal, J., Sapiro, G., Huang, T. S., & Yan, S. (2010). Sparse representation for computer vision and pattern recognition. Proceedings of IEEE, 98(6), 1031-1044.
-
(2010)
Proceedings of IEEE
, vol.98
, Issue.6
, pp. 1031-1044
-
-
Wright, J.1
Ma, Y.2
Mairal, J.3
Sapiro, G.4
Huang, T.S.5
Yan, S.6
-
62
-
-
61549128441
-
Robust face recognition via sparse representation
-
Wright, J., Yang, A., Ganesh, A., Sastry, S., & Ma, Y. (2009). Robust face recognition via sparse representation. IEEE Trans. on Pattern Analysis andMachine Intelligence, 31(2), 210-227.
-
(2009)
IEEE Trans. on Pattern Analysis andMachine Intelligence
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.2
Ganesh, A.3
Sastry, S.4
Ma, Y.5
-
64
-
-
70349966130
-
Variational graph embedding for globally and locally consistent feature extraction
-
Berlin: Springer
-
Yang, S., Zha, H., Zhou, S.,&Hu, B. (2009). Variational graph embedding for globally and locally consistent feature extraction. In Proceedings of the Europe Conference on Machine Learning (pp. 538-553). Berlin: Springer.
-
(2009)
Proceedings of the Europe Conference on Machine Learning
, pp. 538-553
-
-
Yang, S.1
Zha, H.2
Zhou, S.3
Hu, B.4
-
65
-
-
37849014178
-
Face matching from near infrared to visual images
-
S. Li & S. W. Lee (Eds.), Berlin: Springer
-
Yi, D., Liu, R., Chu, R., Lei, Z., & Li, S. (2007). Face matching from near infrared to visual images. In S. Li & S. W. Lee (Eds.), Proceedings of IAPR/IEEE International Conference on Biometrics (pp. 523-530). Berlin: Springer.
-
(2007)
Proceedings of IAPR/IEEE International Conference on Biometrics
, pp. 523-530
-
-
Yi, D.1
Liu, R.2
Chu, R.3
Lei, Z.4
Li, S.5
|