-
1
-
-
48049095024
-
Randomized clustering forests for image classification
-
F. Moosmann, E. Nowak and F. Jurie, "Randomized Clustering Forests for Image Classification", In PAMI, 2008.
-
(2008)
PAMI
-
-
Moosmann, F.1
Nowak, E.2
Jurie, F.3
-
2
-
-
50649102858
-
Support kernel machines for object recognition
-
A. Kumar, C. Sminchisescu, "Support kernel machines for object recognition", In ICCV, 2007.
-
(2007)
ICCV
-
-
Kumar, A.1
Sminchisescu, C.2
-
3
-
-
21944442484
-
Weak hypotheses and boosting for generic object detection and recognition
-
A. Opelt, M. Fussenegger, A. Pinz, and P. Auer, "Weak hypotheses and boosting for generic object detection and recognition", In ECCV, 2004.
-
(2004)
ECCV
-
-
Opelt, A.1
Fussenegger, M.2
Pinz, A.3
Auer, P.4
-
4
-
-
70450209196
-
Linear spatial pyramid matching using sparse coding for image classification
-
J. Yang, K.Yu, Y. Gong, T. Huang, "Linear spatial pyramid matching using sparse coding for image classification", In CVPR, 2009.
-
(2009)
CVPR
-
-
Yang, J.1
Yu, K.2
Gong, Y.3
Huang, T.4
-
5
-
-
50649101132
-
Image classification using random forests and ferns
-
A. Bosch, A. Zisserman, X. Munoz, "Image classification using random forests and ferns", In ICCV, 2007.
-
(2007)
ICCV
-
-
Bosch, A.1
Zisserman, A.2
Munoz, X.3
-
6
-
-
78650983289
-
Image classification using the web graph
-
D. Mahajan, and M. Slaney, "Image classification using the web graph", In ACMMM, 2010.
-
(2010)
ACMMM
-
-
Mahajan, D.1
Slaney, M.2
-
7
-
-
78650978465
-
Hierarchical image feature extraction and classification
-
M.H. Tsai, S.F. Tsai, T.S. Huang, "Hierarchical image feature extraction and classification", In ACMMM, 2010.
-
(2010)
ACMMM
-
-
Tsai, M.H.1
Tsai, S.F.2
Huang, T.S.3
-
8
-
-
51949090223
-
In defense of nearest-neighbor based image classification
-
O. Boiman, E. Shechtman, M. Irani, "In defense of nearest-neighbor based image classification", In CVPR, 2008.
-
(2008)
CVPR
-
-
Boiman, O.1
Shechtman, E.2
Irani, M.3
-
9
-
-
78650991269
-
Landmark image classification using 3D point clouds
-
X. Xian, C.S. Xu, J.Q. Wang, "Landmark image classification using 3D point clouds", In ACMMM, 2010.
-
(2010)
ACMMM
-
-
Xian, X.1
Xu, C.S.2
Wang, J.Q.3
-
10
-
-
72449148198
-
Automatic sports genre categorization and view-type classification over large-scale dataset
-
L.F. Li, N Zhang, L.Y. Duan, Q.M. Huang, J. Du, L. Guan, "Automatic sports genre categorization and view-type classification over large-scale dataset", In ACMMM, 2009.
-
(2009)
ACMMM
-
-
Li, L.F.1
Zhang, N.2
Duan, L.Y.3
Huang, Q.M.4
Du, J.5
Guan, L.6
-
11
-
-
78650988417
-
Age classification for pose variant and occluded faces
-
W.T. Chu, W.L. Liu, J. Y. Yu, "Age classification for pose variant and occluded faces", In ACMMM, 2010.
-
(2010)
ACMMM
-
-
Chu, W.T.1
Liu, W.L.2
Yu, J.Y.3
-
12
-
-
78650985361
-
Affective image classification using features inspired by psychology and art theory
-
J. Machajdik and A. Hanbury, "Affective image classification using features inspired by psychology and art theory, " In ACMMM, 2010.
-
(2010)
ACMMM
-
-
Machajdik, J.1
Hanbury, A.2
-
13
-
-
78650973696
-
Sonify your face: Facial expressions for sound generation
-
R. Valenti, A. Jaimes, N. Sebe, "Sonify your face: facial expressions for sound generation", In ACMMM, 2010.
-
(2010)
ACMMM
-
-
Valenti, R.1
Jaimes, A.2
Sebe, N.3
-
14
-
-
72449177891
-
Incorporating camera metadata for attended region detection and consumer photo classification
-
Z. Li, H.Z. Luo, J.P. Fan, "Incorporating camera metadata for attended region detection and consumer photo classification", In ACMMM, 2009.
-
(2009)
ACMMM
-
-
Li, Z.1
Luo, H.Z.2
Fan, J.P.3
-
16
-
-
0042565834
-
Hierarchical Bayesian inference in the visual cortex
-
T. Lee, D. Mumford, "Hierarchical Bayesian inference in the visual cortex", In JOSAA, 2003.
-
(2003)
JOSAA
-
-
Lee, T.1
Mumford, D.2
-
17
-
-
0028001120
-
Changes in volume, surface estimate, 3-dimensional shape and total number of neurons of the human primary visual-cortex from midgestation until oldage
-
G. Leuba, R. Kraftsik, "Changes in volume, surface estimate, 3-dimensional shape and total number of neurons of the human primary visual-cortex from midgestation until oldage", In Inat. Embryol., 1994.
-
(1994)
Inat. Embryol.
-
-
Leuba, G.1
Kraftsik, R.2
-
19
-
-
35348818718
-
Learning multiple layers of representation
-
G. E. Hinton, "Learning Multiple Layers of Representation", In Trends. Cogn. Sci, 2007.
-
(2007)
Trends. Cogn. Sci
-
-
Hinton, G.E.1
-
20
-
-
0025718412
-
Distributed hierarchical processing in the primate cerebral cortex
-
D. J. Felleman, D. C. Van Essen, "Distributed hierarchical processing in the primate cerebral cortex", In Cereb. Cortex., 1991.
-
(1991)
Cereb. Cortex.
-
-
Felleman, D.J.1
Van Essen, D.C.2
-
21
-
-
0034981386
-
The time course of visual processing: From early perception to decision-making
-
R. VanRullen, S. J. Thorpe, "The time course of visual processing: from early perception to decision-making, " In JOCN, 2001.
-
(2001)
JOCN
-
-
VanRullen, R.1
Thorpe, S.J.2
-
23
-
-
51949088522
-
Semisupervised learning of multi-factor models for face de-identification
-
R. Gross, L. Sweeney, F. D. la Torre, S. Baker, "Semisupervised learning of multi-factor models for face de-identification, " In CVPR, 2008.
-
(2008)
CVPR
-
-
Gross, R.1
Sweeney, L.2
La Torre, F.D.3
Baker, S.4
-
24
-
-
50249093806
-
An empirical evaluation of deep architectures on problems with many factors of variation
-
H. Larochelle, D. Erhan, A. Courville, J. Bergstra, and Y. Bengio, "An empirical evaluation of deep architectures on problems with many factors of variation", In ICML, 2007.
-
(2007)
ICML
-
-
Larochelle, H.1
Erhan, D.2
Courville, A.3
Bergstra, J.4
Bengio, Y.5
-
27
-
-
51949105316
-
Learning a nonlinear embedding by preserving class neighbourhood structure
-
R.R. Salakhutdinov, G.E. Hinton, "Learning a nonlinear embedding by preserving class neighbourhood structure", In AISTATS, 2007.
-
(2007)
AISTATS
-
-
Salakhutdinov, R.R.1
Hinton, G.E.2
-
28
-
-
56449119888
-
Deep learning via semisupervised embedding
-
J. Weston, F. Ratle, R. Collobert, "Deep learning via semisupervised embedding", In ICML, 2008.
-
(2008)
ICML
-
-
Weston, J.1
Ratle, F.2
Collobert, R.3
-
29
-
-
78651073004
-
Discriminate deep belief networks for image classification
-
S.S. Zhou, Q.C. Chen, and X.L. Wang. "Discriminate Deep Belief Networks for Image Classification", In ICIP, 2010.
-
(2010)
ICIP
-
-
Zhou, S.S.1
Chen, Q.C.2
Wang, X.L.3
-
30
-
-
78650876367
-
A deep-learning model-based and data-driven hybrid architecture for image annotation
-
ACM
-
Z. Wang, D. Xia, E.Y. Chang, "A deep-learning model-based and data-driven hybrid architecture for image annotation", In VLS-MCMR, ACM, 2010.
-
(2010)
VLS-MCMR
-
-
Wang, Z.1
Xia, D.2
Chang, E.Y.3
-
31
-
-
84855577840
-
Deep networks for image retrieval on large-scale databases
-
E. Hörster, and R. Lienhart, "Deep networks for image retrieval on large-scale databases", In ACMMM, 2008.
-
(2008)
ACMMM
-
-
Hörster, E.1
Lienhart, R.2
-
32
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
H. Lee, R. Grosse, R. Ranganath, A.Y. Ng, "Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations", In ICML, 2009.
-
(2009)
ICML
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
-
34
-
-
0000359337
-
Backpropagation applied to handwritten zip code recognition
-
Y.L. Cun, B. Boser, J.S. Denker, D. Henderson, R.E. Howard, W. Hubbard, L.D. Jackel, "Backpropagation applied to handwritten zip code recognition, " In Neural Comput., 1989.
-
(1989)
Neural Comput.
-
-
Cun, Y.L.1
Boser, B.2
Denker, J.S.3
Henderson, D.4
Howard, R.E.5
Hubbard, W.6
Jackel, L.D.7
-
36
-
-
77953520240
-
Learning to represent spatial transformations with factored higher-order Boltzmann machines
-
R. Memisevic, G.E. Hinton, "Learning to represent spatial transformations with factored higher-order Boltzmann machines, " In Neural Comput., 2010.
-
(2010)
Neural Comput.
-
-
Memisevic, R.1
Hinton, G.E.2
-
37
-
-
77953183471
-
What is the best multi-stage architecture for object recognition?
-
K. Jarrett, K. Kavukcuoglu, M. Ranzato, and Y.L. Cun, "What is the best multi-stage architecture for object recognition?", In ICCV, 2009.
-
(2009)
ICCV
-
-
Jarrett, K.1
Kavukcuoglu, K.2
Ranzato, M.3
Cun, Y.L.4
-
38
-
-
77956507967
-
3D convolutional neural networks for human action recognition
-
S. Ji, W. Xu, M. Yang, K. Yu, "3D convolutional neural networks for human action recognition, " In ICML, 2010.
-
(2010)
ICML
-
-
Ji, S.1
Xu, W.2
Yang, M.3
Yu, K.4
-
39
-
-
33947194180
-
Graph embedding and extension: A general framework for dimensionality reduction
-
S. Yan, D. Xu, B. Zhang, H.J. Zhang, Q. Yang and S. Lin, "Graph embedding and extension: a general framework for dimensionality reduction", In PAMI, 2007.
-
(2007)
PAMI
-
-
Yan, S.1
Xu, D.2
Zhang, B.3
Zhang, H.J.4
Yang, Q.5
Lin, S.6
-
40
-
-
34249086815
-
Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis
-
M. Sugiyama, "Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis", In JMLR, 2007.
-
(2007)
JMLR
-
-
Sugiyama, M.1
-
41
-
-
0013344078
-
Training products of experts by minimizing contrastive divergence
-
G.E. Hinton, "Training products of experts by minimizing contrastive divergence", In Neural Comput., 2002.
-
(2002)
Neural Comput.
-
-
Hinton, G.E.1
-
42
-
-
84932617705
-
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
-
F.F. Li, R. Fergus, P. Pernoa, "Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories", In CVPR, 2004.
-
(2004)
CVPR
-
-
Li, F.F.1
Fergus, R.2
Pernoa, P.3
-
43
-
-
0035328421
-
Modeling the shape of the scene: A holistic representation of the spatial envelope
-
A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope, " In IJCV, 2001.
-
(2001)
IJCV
-
-
Oliva, A.1
Torralba, A.2
-
44
-
-
0347380229
-
The CMU pose, illumination, and expression database
-
T. Sim, S. Baker, "The CMU pose, illumination, and expression database", In PAMI, 2003.
-
(2003)
PAMI
-
-
Sim, T.1
Baker, S.2
-
45
-
-
85150229208
-
Greedy layer-wise training of deep networks
-
Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle, "Greedy layer-wise training of deep networks", In NIPS, 2006.
-
(2006)
NIPS
-
-
Bengio, Y.1
Lamblin, P.2
Popovici, D.3
Larochelle, H.4
-
46
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
B. E. Boser, I. M. Guyon, and V. N. Vapnik, "A training algorithm for optimal margin classifiers", In COLT, 1992.
-
(1992)
COLT
-
-
Boser, B.E.1
Guyon, I.M.2
Vapnik, V.N.3
-
47
-
-
33747128180
-
Large scale transductive SVMs
-
R. Collobert, F. Sinz, J. Weston, L. Bottou, "Large scale transductive SVMs, In JMLR", 2006.
-
(2006)
JMLR
-
-
Collobert, R.1
Sinz, F.2
Weston, J.3
Bottou, L.4
-
49
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. Lecun, L. Bottou, Y. Bengio and P. Haffner. "Gradient-based learning applied to document recognition, " In Proceedings of the IEEE, pp. 2278-2324, 1998.
-
(1998)
Proceedings of the IEEE
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
|