-
1
-
-
24644491332
-
Face recognition with image sets using manifold density divergence
-
Arandjelovic, O.; Shakhnarovich, G.; Fisher, J.; Cipolla, R.; and Darrell, T. 2005. Face recognition with image sets using manifold density divergence. In IEEE Conference on Computer Vision and Pattern Recognition.
-
(2005)
IEEE Conference on Computer Vision and Pattern Recognition
-
-
Arandjelovic, O.1
Shakhnarovich, G.2
Fisher, J.3
Cipolla, R.4
Darrell, T.5
-
2
-
-
33750729556
-
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
-
Belkin, M.; Niyogi, P.; and Sindhwani, V. 2006. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. The Journal of Machine Learning Research 7:2399-2434.
-
(2006)
The Journal of Machine Learning Research
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
5
-
-
33646365077
-
For most large underdetermined systems of linear equations the minimal II-norm solution is also the sparsest solution
-
Donoho, D. 2006. For most large underdetermined systems of linear equations the minimal II-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
-
7
-
-
50949133669
-
Liblinear: A library for large linear classification
-
Fan, R.; Chang, K.; Hsieh, C.; Wang, X.; and Lin, C. 2008. Liblinear: A library for large linear classification. The Journal of Machine Learning Research 9:1871-1874.
-
(2008)
The Journal of Machine Learning Research
, vol.9
, pp. 1871-1874
-
-
Fan, R.1
Chang, K.2
Hsieh, C.3
Wang, X.4
Lin, C.5
-
8
-
-
77955422240
-
Object detection with discriminatively trained part-based models
-
Felzenszwalb, P.; Girshick, R.; McAIlester, D.; and Ramanan, D. 2010. Object detection with discriminatively trained part-based models. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(9):1627-1645.
-
(2010)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.32
, Issue.9
, pp. 1627-1645
-
-
Felzenszwalb, P.1
Girshick, R.2
McAIlester, D.3
Ramanan, D.4
-
10
-
-
78049255234
-
Multi-manifold semi-supervised learning
-
Goldberg, A.; Zhu, X.; Singh, A.; Xu, Z.; and Nowak, R. 2009. Multi-manifold semi-supervised learning. In Twelfth International Conference on Artificial Intelligence and Statistics.
-
(2009)
Twelfth International Conference on Artificial Intelligence and Statistics
-
-
Goldberg, A.1
Zhu, X.2
Singh, A.3
Xu, Z.4
Nowak, R.5
-
12
-
-
0000636553
-
Text categorization with support vector machines: Learning with many relevant features
-
Joachims, T. 1998. Text categorization with support vector machines: learning with many relevant features. European Conference on Machine Learning.
-
(1998)
European Conference on Machine Learning
-
-
Joachims, T.1
-
14
-
-
84875278020
-
Learning dictionary on manifolds for image classification
-
Liu, B.-D.; Wang, Y.-X.; Zhang, Y.-J.; and Shen, B. 2013. Learning dictionary on manifolds for image classification. Pattern Recognition 46(7):1879-1890.
-
(2013)
Pattern Recognition
, vol.46
, Issue.7
, pp. 1879-1890
-
-
Liu, B.-D.1
Wang, Y.-X.2
Zhang, Y.-J.3
Shen, B.4
-
15
-
-
84906504755
-
Self-explanatory sparse representation for image classification
-
Springer
-
Liu, B.-D.; Wang, Y.-X.; Shen, B.; Zhang, Y.-J.; and Hebert, M. 2014. Self-explanatory sparse representation for image classification. In European Conference on Computer Vision. Springer. 600-616.
-
(2014)
European Conference on Computer Vision
, pp. 600-616
-
-
Liu, B.-D.1
Wang, Y.-X.2
Shen, B.3
Zhang, Y.-J.4
Hebert, M.5
-
23
-
-
4544292940
-
The emu pose, illumination, and expression (pie) database
-
Sim, T.; Baker, S.; and Bsat, M. 2002. The emu pose, illumination, and expression (pie) database. In IEEE International Conference on Automatic Face and Gesture Recognition, 46-51.
-
(2002)
IEEE International Conference on Automatic Face and Gesture Recognition
, pp. 46-51
-
-
Sim, T.1
Baker, S.2
Bsat, M.3
-
25
-
-
0010864753
-
Pattern recognition using generalized portrait method
-
Vapnik, V. 1963. Pattern recognition using generalized portrait method. Automation and Remote Control 24:774-780.
-
(1963)
Automation and Remote Control
, vol.24
, pp. 774-780
-
-
Vapnik, V.1
-
27
-
-
84908152598
-
Adaptive knowledge transfer for multiple instance learning in image classification
-
Wang, Q.; Ruan, L.; and Si, L. 2014. Adaptive knowledge transfer for multiple instance learning in image classification. AAAI Conference on Artificial Intelligence.
-
(2014)
AAAI Conference on Artificial Intelligence
-
-
Wang, Q.1
Ruan, L.2
Si, L.3
-
28
-
-
61549128441
-
Robust face recognition via sparse representation
-
Wright, J.; Yang, A.; Ganesh, A.; Sastry, S.; and Ma, Y. 2009. Robust face recognition via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(2):210-227.
-
(2009)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.2
Ganesh, A.3
Sastry, S.4
Ma, Y.5
-
30
-
-
33749255074
-
Maximum margin clustering
-
Xu, L.; Neufeld, J.; Larson, B.; and Schuurmans, D. 2004. Maximum margin clustering. Advances in Neural Information Processing Systems 17:1537-1544.
-
(2004)
Advances in Neural Information Processing Systems
, vol.17
, pp. 1537-1544
-
-
Xu, L.1
Neufeld, J.2
Larson, B.3
Schuurmans, D.4
-
32
-
-
84881407308
-
Image classification using kernel collaborative representation with regularized least square
-
Yang, W.; Wang, Z.; Yin, J.; Sun, C.; and Ricanek, K. 2013. Image classification using kernel collaborative representation with regularized least square. Applied Mathematics and Computation 222(0):13-28.
-
(2013)
Applied Mathematics and Computation
, vol.222
, pp. 13-28
-
-
Yang, W.1
Wang, Z.2
Yin, J.3
Sun, C.4
Ricanek, K.5
|