-
3
-
-
84887391600
-
Learning binary codes for high-dimensional data using bilinear projections
-
Y. Gong, S. Kumar, H. A. Rowley, and S. Lazebnik. Learning binary codes for high-dimensional data using bilinear projections. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 484-491, 2013
-
(2013)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 484-491
-
-
Gong, Y.1
Kumar, S.2
Rowley, H.A.3
Lazebnik, S.4
-
5
-
-
84933037463
-
Batchorthogonal locality-sensitive hashing for angular similarity
-
J. Ji, S. Yan, J. Li, G. Gao, Q. Tian, and B. Zhang. Batchorthogonal locality-sensitive hashing for angular similarity. IEEE Transactions on Pattern Analysis and Machine Intelli-gence, 36(10):1963-1974, 2014
-
(2014)
IEEE Transactions on Pattern Analysis and Machine Intelli-gence
, vol.36
, Issue.10
, pp. 1963-1974
-
-
Ji, J.1
Yan, S.2
Li, J.3
Gao, G.4
Tian, Q.5
Zhang, B.6
-
6
-
-
84913555165
-
-
arXiv preprint arXiv:1408. 5093
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408. 5093, 2014
-
(2014)
Caffe: Convolutional Architecture for Fast Feature Embedding
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
10
-
-
84897560109
-
Learning hash functions using column generation
-
X. Li, G. Lin, C. Shen, A. v. d. Hengel, and A. Dick. Learning hash functions using column generation. In Proceedings of the International Conference on Machine Learning, pages 142-150, 2013
-
(2013)
Proceedings of the International Conference on Machine Learning
, pp. 142-150
-
-
Li, X.1
Lin, G.2
Shen, C.3
Hengel, A.V.D.4
Dick, A.5
-
12
-
-
84866726818
-
Supervised hashing with kernels
-
W. Liu, J. Wang, R. Ji, Y.-G. Jiang, and S.-F. Chang. Supervised hashing with kernels. In Proceedings of the IEEE Con-ference on Computer Vision and Pattern Recognition, pages 2074-2081, 2012
-
(2012)
Proceedings of the IEEE Con-ference on Computer Vision and Pattern Recognition
, pp. 2074-2081
-
-
Liu, W.1
Wang, J.2
Ji, R.3
Jiang, Y.-G.4
Chang, S.-F.5
-
13
-
-
80053456121
-
Hashing with graphs
-
W. Liu, J. Wang, S. Kumar, and S.-F. Chang. Hashing with graphs. In Proceedings of the International Conference on Machine Learning, pages 1-8, 2011
-
(2011)
Proceedings of the International Conference on Machine Learning
, pp. 1-8
-
-
Liu, W.1
Wang, J.2
Kumar, S.3
Chang, S.-F.4
-
14
-
-
84887385383
-
Hash bit selection: A unified solution for selection problems in hashing
-
X. Liu, J. He, B. Lang, and S.-F. Chang. Hash bit selection: a unified solution for selection problems in hashing. In Pro-ceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1570-1577, 2013
-
(2013)
Pro-ceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 1570-1577
-
-
Liu, X.1
He, J.2
Lang, B.3
Chang, S.-F.4
-
15
-
-
84899025804
-
The power of asymmetry in binary hashing
-
B. Neyshabur, N. Srebro, R. Salakhutdinov, Y. Makarychev, and P. Yadollahpour. The power of asymmetry in binary hashing. In Advances in Neural Information Processing Sys-tems, pages 2823-2831, 2013
-
(2013)
Advances in Neural Information Processing Sys-tems
, pp. 2823-2831
-
-
Neyshabur, B.1
Srebro, N.2
Salakhutdinov, R.3
Makarychev, Y.4
Yadollahpour, P.5
-
18
-
-
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. International Journal of Computer Vision, 42(3):145-175, 2001
-
(2001)
International Journal of Computer Vision
, vol.42
, Issue.3
, pp. 145-175
-
-
Oliva, A.1
Torralba, A.2
-
20
-
-
84906347546
-
-
arXiv preprint arXiv:1312. 6229
-
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312. 6229, 2013
-
(2013)
Overfeat: Integrated Recognition, Localization and Detection Using Convolutional Networks
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
Mathieu, M.4
Fergus, R.5
LeCun, Y.6
-
22
-
-
84897510162
-
On the importance of initialization and momentum in deep learning
-
I. Sutskever, J. Martens, G. Dahl, and G. Hinton. On the importance of initialization and momentum in deep learning. In Proceedings of the 30th International Conference on Ma-chine Learning, pages 1139-1147, 2013
-
(2013)
Proceedings of the 30th International Conference on Ma-chine Learning
, pp. 1139-1147
-
-
Sutskever, I.1
Martens, J.2
Dahl, G.3
Hinton, G.4
-
23
-
-
84917742909
-
-
arXiv preprint arXiv:1409. 4842
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. arXiv preprint arXiv:1409. 4842, 2014
-
(2014)
Going Deeper with Convolutions
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
24
-
-
84911198048
-
Deepface: Closing the gap to human-level performance in face verification
-
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf. Deepface: Closing the gap to human-level performance in face verification. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1701-1708, 2014
-
(2014)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 1701-1708
-
-
Taigman, Y.1
Yang, M.2
Ranzato, M.3
Wolf, L.4
-
25
-
-
84865410773
-
Semi-supervised hashing for large-scale search
-
J. Wang, S. Kumar, and S.-F. Chang. Semi-supervised hashing for large-scale search. IEEE Transactions on Pat-tern Analysis and Machine Intelligence, 34(12):2393-2406, 2012
-
(2012)
IEEE Transactions on Pat-tern Analysis and Machine Intelligence
, vol.34
, Issue.12
, pp. 2393-2406
-
-
Wang, J.1
Kumar, S.2
Chang, S.-F.3
-
27
-
-
84908192527
-
Supervised hashing for image retrieval via image representation learning
-
R. Xia, Y. Pan, H. Lai, C. Liu, and S. Yan. Supervised hashing for image retrieval via image representation learning. In Proceedings of the AAAI Conference on Artificial Intellignece, pages 2156-2162, 2014.
-
(2014)
Proceedings of the AAAI Conference on Artificial Intellignece
, pp. 2156-2162
-
-
Xia, R.1
Pan, Y.2
Lai, H.3
Liu, C.4
Yan, S.5
|