-
1
-
-
24644502276
-
Shape matching and object recognition using low distortion correspondences
-
A. Berg, T. Berg, and J. Malik. Shape matching and object recognition using low distortion correspondences. In CVPR, 2005.
-
(2005)
CVPR
-
-
Berg, A.1
Berg, T.2
Malik, J.3
-
2
-
-
50649101132
-
Image classification using random forests and ferns
-
A. Bosch, A. Zisserman, and X. Muñoz. Image classification using random forests and ferns. In ICCV, 2007.
-
(2007)
ICCV
-
-
Bosch, A.1
Zisserman, A.2
Muñoz, X.3
-
3
-
-
24644496298
-
Local discriminant embedding and its variants
-
H.-T. Chen, H.-W. Chang, and T.-L. Liu. Local discriminant embedding and its variants. In CVPR, 2005.
-
(2005)
CVPR
-
-
Chen, H.-T.1
Chang, H.-W.2
Liu, T.-L.3
-
4
-
-
84932617705
-
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
-
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.
-
(2004)
CVPR Workshop on Generative-model Based Vision
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
5
-
-
85158044173
-
Image retrieval and classification using local distance functions
-
A. Frome, Y. Singer, and J. Malik. Image retrieval and classification using local distance functions. In NIPS, 2006.
-
(2006)
NIPS
-
-
Frome, A.1
Singer, Y.2
Malik, J.3
-
6
-
-
34247576789
-
The pyramid match kernel: Efficient learning with sets of features
-
K. Grauman and T. Darrell. The pyramid match kernel: Efficient learning with sets of features. JMLR, 2007.
-
(2007)
JMLR
-
-
Grauman, K.1
Darrell, T.2
-
7
-
-
8644228268
-
Locality preserving projections
-
X. He and P. Niyogi. Locality preserving projections. In NIPS, 2003.
-
(2003)
NIPS
-
-
He, X.1
Niyogi, P.2
-
8
-
-
33749246584
-
Optimal kernel selection in kernel fisher discriminant analysis
-
S.-J. Kim, A. Magnani, and S. Boyd. Optimal kernel selection in kernel fisher discriminant analysis. In ICML, 2006.
-
(2006)
ICML
-
-
Kim, S.-J.1
Magnani, A.2
Boyd, S.3
-
9
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
G. Lanckriet, N. Cristianini, P. Bartlett, L. Ghaoui, and M. Jordan. Learning the kernel matrix with semidefinite programming. JMLR, 2004.
-
(2004)
JMLR
-
-
Lanckriet, G.1
Cristianini, N.2
Bartlett, P.3
Ghaoui, L.4
Jordan, M.5
-
10
-
-
35148859368
-
Local ensemble kernel learning for object category recognition
-
Y.-Y. Lin, T.-L. Liu, and C.-S. Fuh. Local ensemble kernel learning for object category recognition. In CVPR, 2007.
-
(2007)
CVPR
-
-
Lin, Y.-Y.1
Liu, T.-L.2
Fuh, C.-S.3
-
11
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 2004.
-
(2004)
IJCV
-
-
Lowe, D.1
-
12
-
-
0033337021
-
Fisher discriminant analysis with kernels
-
S.Mika, G. Rätsch, J.Weston, B. Schölkopf, and K.-R.Müller. Fisher discriminant analysis with kernels. In Neural Networks for Signal Processing, 1999.
-
(1999)
Neural Networks for Signal Processing
-
-
Mika, S.1
Rätsch, G.2
Weston, J.3
Schölkopf, B.4
Müller, K.-R.5
-
13
-
-
33845569574
-
Multiclass object recognition with sparse, localized features
-
J. Mutch and D. Lowe. Multiclass object recognition with sparse, localized features. In CVPR, 2006.
-
(2006)
CVPR
-
-
Mutch, J.1
Lowe, D.2
-
15
-
-
24644511277
-
Object recognition with features inspired by visual cortex
-
T. Serre, L. Wolf, and T. Poggio. Object recognition with features inspired by visual cortex. In CVPR, 2005.
-
(2005)
CVPR
-
-
Serre, T.1
Wolf, L.2
Poggio, T.3
-
18
-
-
50649115912
-
Learning the discriminative power-invariance trade-off
-
M. Varma and D. Ray. Learning the discriminative power-invariance trade-off. In ICCV, 2007.
-
(2007)
ICCV
-
-
Varma, M.1
Ray, D.2
-
19
-
-
33947194180
-
Graph embedding and extensions: A general framework for dimensionality reduction
-
S. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang, and S. Lin. Graph embedding and extensions: A general framework for dimensionality reduction. PAMI, 2007.
-
(2007)
PAMI
-
-
Yan, S.1
Xu, D.2
Zhang, B.3
Zhang, H.4
Yang, Q.5
Lin, S.6
-
20
-
-
33845566162
-
Svm-knn: Discriminative nearest neighbor classification for visual category recognition
-
H. Zhang, A. Berg, M. Maire, and J. Malik. Svm-knn: Discriminative nearest neighbor classification for visual category recognition. In CVPR, 2006.
-
(2006)
CVPR
-
-
Zhang, H.1
Berg, A.2
Maire, M.3
Malik, J.4
-
21
-
-
34250749560
-
Multi-class adaboost
-
J. Zhu, S. Rosset, H. Zou, and T. Hastie. Multi-class adaboost. Technical report, Dept. of Statistics, University of Michigan, 2005.
-
(2005)
Technical Report Dept. of Statistics, University of Michigan
-
-
Zhu, J.1
Rosset, S.2
Zou, H.3
Hastie, T.4
|