-
1
-
-
84906351367
-
Analyzing the performance of multilayer neural networks for object recognition
-
Springer
-
P. Agrawal, R. Girshick, and J. Malik. Analyzing the performance of multilayer neural networks for object recognition. In ECCV 2014, pages 329-344. Springer, 2014.
-
(2014)
ECCV 2014
, pp. 329-344
-
-
Agrawal, P.1
Girshick, R.2
Malik, J.3
-
2
-
-
0024056554
-
Active perception
-
R. Bajcsy. Active perception. Proceedings of the IEEE, 76 (8): 966-1005, 1988.
-
(1988)
Proceedings of the IEEE
, vol.76
, Issue.8
, pp. 966-1005
-
-
Bajcsy, R.1
-
3
-
-
0001471775
-
Unsupervised learning
-
H. Barlow. Unsupervised learning. Neural computation, 1 (3): 295-311, 1989.
-
(1989)
Neural Computation
, vol.1
, Issue.3
, pp. 295-311
-
-
Barlow, H.1
-
4
-
-
84876220822
-
-
CoRR, abs/ 1206 5538, 1
-
Y. Bengio, A. C. Courville, and P. Vincent. Unsupervised feature learning and deep learning: A review and new perspectives. CoRR, abs/1206. 5538, 1, 2012.
-
(2012)
Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives
-
-
Bengio, Y.1
Courville, A.C.2
Vincent, P.3
-
5
-
-
78149356001
-
Detecting people using mutually consistent poselet activations
-
Springer
-
L. Bourdev, S. Maji, T. Brox, and J. Malik. Detecting people using mutually consistent poselet activations. In ECCV, pages 168-181. Springer, 2010.
-
(2010)
ECCV
, pp. 168-181
-
-
Bourdev, L.1
Maji, S.2
Brox, T.3
Malik, J.4
-
6
-
-
0024220237
-
Auto-association by multilayer perceptrons and singular value decomposition
-
H. Bourlard and Y. Kamp. Auto-association by multilayer perceptrons and singular value decomposition. Biological cybernetics, 59 (4-5): 291-294, 1988.
-
(1988)
Biological Cybernetics
, vol.59
, Issue.4-5
, pp. 291-294
-
-
Bourlard, H.1
Kamp, Y.2
-
7
-
-
80052910201
-
City-scale landmark identification on mobile devices
-
D. M. Chen, G. Baatz, K. Koser, S. S. Tsai, R. Vedantham, T. Pylvanainen, K. Roimela, X. Chen, J. Bach, M. Pollefeys, et al. City-scale landmark identification on mobile devices. In CVPR, pages 737-744, 2011.
-
(2011)
CVPR
, pp. 737-744
-
-
Chen, D.M.1
Baatz, G.2
Koser, K.3
Tsai, S.S.4
Vedantham, R.5
Pylvanainen, T.6
Roimela, K.7
Chen, X.8
Bach, J.9
Pollefeys, M.10
-
8
-
-
24644436425
-
Learning a similarity metric discriminatively, with application to face verification
-
IEEE
-
S. Chopra, R. Hadsell, and Y. LeCun. Learning a similarity metric discriminatively, with application to face verification. In CVPR, volume 1, pages 539-546. IEEE, 2005.
-
(2005)
CVPR
, vol.1
, pp. 539-546
-
-
Chopra, S.1
Hadsell, R.2
LeCun, Y.3
-
10
-
-
84904482223
-
-
arXiv preprint arXiv: 1310. 1531
-
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell. Decaf: A deep convolutional activation feature for generic visual recognition. ArXiv preprint arXiv: 1310. 1531, 2013.
-
(2013)
Decaf: A Deep Convolutional Activation Feature for Generic Visual Recognition
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
14
-
-
85070926206
-
-
arXiv preprint arXiv: 1504. 02518
-
R. Goroshin, J. Bruna, J. Tompson, D. Eigen, and Y. LeCun. Unsupervised feature learning from temporal data. ArXiv preprint arXiv: 1504. 02518, 2015.
-
(2015)
Unsupervised Feature Learning from Temporal Data
-
-
Goroshin, R.1
Bruna, J.2
Tompson, J.3
Eigen, D.4
LeCun, Y.5
-
15
-
-
62449327816
-
Online learning for offroad robots: Using spatial label propagation to learn long-range traversability
-
R. Hadsell, P. Sermanet, J. Ben, A. Erkan, J. Han, B. Flepp, U. Muller, and Y. LeCun. Online learning for offroad robots: Using spatial label propagation to learn long-range traversability. In RSS, volume 11, page 32, 2007.
-
(2007)
RSS
, vol.11
, pp. 32
-
-
Hadsell, R.1
Sermanet, P.2
Ben, J.3
Erkan, A.4
Han, J.5
Flepp, B.6
Muller, U.7
LeCun, Y.8
-
16
-
-
79959347463
-
Transforming auto-encoders
-
Springer
-
G. E. Hinton, A. Krizhevsky, and S. D. Wang. Transforming auto-encoders. In ICANN, pages 44-51. Springer, 2011.
-
(2011)
ICANN
, pp. 44-51
-
-
Hinton, G.E.1
Krizhevsky, A.2
Wang, S.D.3
-
17
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
ACM
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. In ACM International Conference on Multimedia, pages 675-678. ACM, 2014.
-
(2014)
ACM International Conference on Multimedia
, pp. 675-678
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
18
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, pages 1097-1105, 2012.
-
(2012)
NIPS
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
19
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
IEEE
-
S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, volume 2, pages 2169-2178. IEEE, 2006.
-
(2006)
CVPR
, vol.2
, pp. 2169-2178
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
20
-
-
0000359337
-
Backpropagation applied to handwritten zip code recognition
-
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation applied to handwritten zip code recognition. Neural computation, 1 (4): 541-551, 1989.
-
(1989)
Neural Computation
, vol.1
, Issue.4
, pp. 541-551
-
-
LeCun, Y.1
Boser, B.2
Denker, J.S.3
Henderson, D.4
Howard, R.E.5
Hubbard, W.6
Jackel, L.D.7
-
21
-
-
0032203257
-
Gradientbased learning applied to document recognition
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradientbased learning applied to document recognition. Proceedings of the IEEE, 86 (11): 2278-2324, 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
22
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
ACM
-
H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In ICML, pages 609-616. ACM, 2009.
-
(2009)
ICML
, pp. 609-616
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
-
23
-
-
0033284915
-
Object recognition from local scale-invariant features
-
IEEE
-
D. G. Lowe. Object recognition from local scale-invariant features. In ICCV, volume 2, pages 1150-1157. IEEE, 1999.
-
(1999)
ICCV
, vol.2
, pp. 1150-1157
-
-
Lowe, D.G.1
-
24
-
-
77953520240
-
Learning to represent spatial transformations with factored higher-order boltzmann machines
-
R. Memisevic and G. E. Hinton. Learning to represent spatial transformations with factored higher-order boltzmann machines. Neural Computation, 22 (6): 1473-1492, 2010.
-
(2010)
Neural Computation
, vol.22
, Issue.6
, pp. 1473-1492
-
-
Memisevic, R.1
Hinton, G.E.2
-
25
-
-
71149084945
-
Deep learning from temporal coherence in video
-
ACM
-
H. Mobahi, R. Collobert, and J. Weston. Deep learning from temporal coherence in video. In ICML, pages 737-744. ACM, 2009.
-
(2009)
ICML
, pp. 737-744
-
-
Mobahi, H.1
Collobert, R.2
Weston, J.3
-
26
-
-
33749236045
-
Building the GIST of a scene: The role of global image features in recognition
-
A. Oliva and A. Torralba. Building the gist of a scene: The role of global image features in recognition. Progress in brain research, 155: 23-36, 2006.
-
(2006)
Progress in Brain Research
, vol.155
, pp. 23-36
-
-
Oliva, A.1
Torralba, A.2
-
27
-
-
0029938380
-
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
-
B. A. Olshausen et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381 (6583): 607-609, 1996.
-
(1996)
Nature
, vol.381
, Issue.6583
, pp. 607-609
-
-
Olshausen, B.A.1
-
29
-
-
34948870900
-
Unsupervised learning of invariant feature hierarchies with applications to object recognition
-
IEEE
-
M. Ranzato, F. J. Huang, Y.-L. Boureau, and Y. LeCun. Unsupervised learning of invariant feature hierarchies with applications to object recognition. In CVPR, pages 1-8. IEEE, 2007.
-
(2007)
CVPR
, pp. 1-8
-
-
Ranzato, M.1
Huang, F.J.2
Boureau, Y.-L.3
LeCun, Y.4
-
30
-
-
84965108042
-
-
arXiv preprint arXiv: 1412. 6604
-
M. Ranzato, A. Szlam, J. Bruna, M. Mathieu, R. Collobert, and S. Chopra. Video (language) modeling: A baseline for generative models of natural videos. ArXiv preprint arXiv: 1412. 6604, 2014.
-
(2014)
Video (Language) Modeling: A Baseline for Generative Models of Natural Videos
-
-
Ranzato, M.1
Szlam, A.2
Bruna, J.3
Mathieu, M.4
Collobert, R.5
Chopra, S.6
-
31
-
-
84947041871
-
ImageNet Large Scale Visual Recognition Challenge
-
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei. ImageNet Large Scale Visual Recognition Challenge. IJCV, 2015.
-
(2015)
IJCV
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
Berg, A.C.11
Fei-Fei, L.12
-
32
-
-
84862286946
-
Deep boltzmann machines
-
R. Salakhutdinov and G. E. Hinton. Deep boltzmann machines. In AISTATS, pages 448-455, 2009.
-
(2009)
AISTATS
, pp. 448-455
-
-
Salakhutdinov, R.1
Hinton, G.E.2
-
33
-
-
84937862424
-
Two-stream convolutional networks for action recognition in videos
-
K. Simonyan and A. Zisserman. Two-stream convolutional networks for action recognition in videos. In NIPS, pages 568-576, 2014.
-
(2014)
NIPS
, pp. 568-576
-
-
Simonyan, K.1
Zisserman, A.2
-
35
-
-
84911415198
-
Reconstructing pascal voc
-
IEEE
-
S. Vicente, J. Carreira, L. Agapito, and J. Batista. Reconstructing pascal voc. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages 41-48. IEEE, 2014.
-
(2014)
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
, pp. 41-48
-
-
Vicente, S.1
Carreira, J.2
Agapito, L.3
Batista, J.4
-
36
-
-
0036546660
-
Slow feature analysis: Unsupervised learning of invariances
-
L. Wiskott and T. J. Sejnowski. Slow feature analysis: Unsupervised learning of invariances. Neural computation, 14 (4): 715-770, 2002.
-
(2002)
Neural Computation
, vol.14
, Issue.4
, pp. 715-770
-
-
Wiskott, L.1
Sejnowski, T.J.2
-
37
-
-
77955988947
-
Sun database: Large-scale scene recognition from abbey to zoo
-
IEEE
-
J. Xiao, J. Hays, K. A. Ehinger, A. Oliva, and A. Torralba. Sun database: Large-scale scene recognition from abbey to zoo. In CVPR, pages 3485-3492. IEEE, 2010.
-
(2010)
CVPR
, pp. 3485-3492
-
-
Xiao, J.1
Hays, J.2
Ehinger, K.A.3
Oliva, A.4
Torralba, A.5
|