-
1
-
-
33947167478
-
Face description with local binary patterns: Application to face recognition
-
2
-
T. Ahonen, A. Hadid, and M. Pietikainen. Face description with local binary patterns: Application to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(12):2037-2041, 2006. 2
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, Issue.12
, pp. 2037-2041
-
-
Ahonen, T.1
Hadid, A.2
Pietikainen, M.3
-
2
-
-
24644502276
-
Shape matching and object recognition using low distortion correspondences
-
IEEE, 2, 7
-
A. Berg, T. Berg, and J. Malik. Shape matching and object recognition using low distortion correspondences. In Computer Vision and Pattern Recognition, pages 26-33. IEEE, 2005. 2, 7
-
(2005)
Computer Vision and Pattern Recognition
, pp. 26-33
-
-
Berg, A.1
Berg, T.2
Malik, J.3
-
3
-
-
33745604236
-
Stable signal recovery from incomplete and inaccurate measurements
-
1
-
E. Candes, J. Romberg, and T. Tao. Stable signal recovery from incomplete and inaccurate measurements. Comm. Pure and Applied Math, 59 (8):1207-1223, 2006. 1
-
(2006)
Comm. Pure and Applied Math
, vol.59
, Issue.8
, pp. 1207-1223
-
-
Candes, E.1
Romberg, J.2
Tao, T.3
-
5
-
-
33645146449
-
Histogram of oriented gradients for human detection
-
IEEE, 2
-
N. Dalal and B.Triggs. Histogram of oriented gradients for human detection. In Computer Vision and Pattern Recognition, pages 887-893. IEEE, 2005. 2
-
(2005)
Computer Vision and Pattern Recognition
, pp. 887-893
-
-
Dalal, N.1
Triggs, B.2
-
6
-
-
84932617705
-
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
-
6
-
L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. In CVPR Workshop on Generative-Model Based Vision, 2004. 6
-
CVPR Workshop on Generative-Model Based Vision, 2004
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
7
-
-
85067032737
-
On feature combination for multiclass object classi- Fication
-
IEEE, 2, 3, 4, 6, 7, 8
-
P. Gehler and S. Nowozin. On feature combination for multiclass object classi- fication. In International Conference on Computer Vision. IEEE, 2009. 2, 3, 4, 6, 7, 8
-
(2009)
International Conference on Computer Vision
-
-
Gehler, P.1
Nowozin, S.2
-
8
-
-
33845572523
-
Beyond bag of features: Spatial pyramid matching for recognizing natural scene categories
-
IEEE, 2, 7
-
S. Lazebnik, C. Schmid, and J. Ponce. Beyond bag of features: Spatial pyramid matching for recognizing natural scene categories. In Computer Vision and Pattern Recognition, pages 2169-2178. IEEE, 2006. 2, 7
-
(2006)
Computer Vision and Pattern Recognition
, pp. 2169-2178
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
10
-
-
71149111015
-
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery
-
1
-
H. Liu, M. Palatucci, and J. Zhang. Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery. In International Conference on Machine Learning, pages 649-656, 2009. 1
-
(2009)
International Conference on Machine Learning
, pp. 649-656
-
-
Liu, H.1
Palatucci, M.2
Zhang, J.3
-
12
-
-
57649169327
-
Gradient methods for minimizing composite objective function
-
2, 3
-
Y. Nesterov. Gradient methods for minimizing composite objective function. CORE Discussion Paper 2007/076, 2007. 2, 3
-
(2007)
CORE Discussion Paper 2007/076
-
-
Nesterov, Y.1
-
14
-
-
65249121810
-
Automated flower classification over a large number of classes
-
2, 6, 7
-
M. Nilsback and A. Zisserman. Automated flower classification over a large number of classes. In ICCVGIP, pages 722-729, 2008. 2, 6, 7
-
(2008)
ICCVGIP
, pp. 722-729
-
-
Nilsback, M.1
Zisserman, A.2
-
15
-
-
70049105714
-
Joint covariate selection and joint subspace selection for multiple classification problems
-
1, 2, 3
-
G. Obozinski, B. Taskar, and M. Jordan. Joint covariate selection and joint subspace selection for multiple classification problems. Journal of Statistics and Computing, 2009. 1, 2, 3
-
(2009)
Journal of Statistics and Computing
-
-
Obozinski, G.1
Taskar, B.2
Jordan, M.3
-
16
-
-
0030779611
-
Sparse coding with an overcomplete basis set: A strategy employed by v1?
-
1
-
B. Olshausen and D. Field. Sparse coding with an overcomplete basis set: a strategy employed by v1? Vision Research, 37(23):3311-3325, 1997. 1
-
(1997)
Vision Research
, vol.37
, Issue.23
, pp. 3311-3325
-
-
Olshausen, B.1
Field, D.2
-
18
-
-
84862276986
-
Optimizing costly functions with simple constraints: A limited-memory projected quasi-newton algorithm
-
3
-
M. Schmidt, E. Berg, M. Friedlander, and K. Murphy. Optimizing costly functions with simple constraints: A limited-memory projected quasi-newton algorithm. In AISTATS, volume 5, pages 456-463, 2009. 3
-
(2009)
AISTATS
, vol.5
, pp. 456-463
-
-
Schmidt, M.1
Berg, E.2
Friedlander, M.3
Murphy, K.4
-
20
-
-
70049111607
-
On accelerated proximal gradient methods for convex-concave optimization
-
3
-
P. Tseng. On accelerated proximal gradient methods for convex-concave optimization. submitted to SIAM Journal of Optimization, 2008. 3
-
(2008)
Submitted to SIAM Journal of Optimization
-
-
Tseng, P.1
-
21
-
-
50649115912
-
Learning the discriminative power-invariance trade-off
-
IEEE, 2, 6, 7, 8
-
M. Varma and D. Ray. Learning the discriminative power-invariance trade-off. In International Conference on Computer Vision. IEEE, 2007. 2, 6, 7, 8
-
(2007)
International Conference on Computer Vision
-
-
Varma, M.1
Ray, D.2
-
22
-
-
61549128441
-
Robust face recognition via sparse representation
-
1, 2
-
J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma. Robust face recognition via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(2):210-226, 2009. 1, 2
-
(2009)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.31
, Issue.2
, pp. 210-226
-
-
Wright, J.1
Yang, A.2
Ganesh, A.3
Sastry, S.4
Ma, Y.5
-
24
-
-
33645035051
-
Model selection and estimation in regression with grouped variables
-
2
-
M. Yuan and Y. Lin. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society. Series B, 68(1):49-67, 2006. 2
-
(2006)
Journal of the Royal Statistical Society. Series B
, vol.68
, Issue.1
, pp. 49-67
-
-
Yuan, M.1
Lin, Y.2
-
26
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
2
-
H. Zou and T. Hastie. Regularization and variable selection via the elastic net. Journal of the Royal Statistical Society B, 67(2):301-320, 2005. 2
-
(2005)
Journal of the Royal Statistical Society B
, vol.67
, Issue.2
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
|