-
1
-
-
33750388702
-
Probabilistic models of information retrieval based on measuring the divergence from randomness
-
G. Amati and C. J. V. Rijsbergen. Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Trans. Inf. Syst, 20(4):357-389, 2002.
-
(2002)
ACM Trans. Inf. Syst
, vol.20
, Issue.4
, pp. 357-389
-
-
Amati, G.1
Rijsbergen, C.J.V.2
-
6
-
-
56449095373
-
A unified architecture for natural language processing: Deep neural networks with multitask learning
-
R. Collobert and J. Weston. A unified architecture for natural language processing: Deep neural networks with multitask learning. In ICML, 2008.
-
(2008)
ICML
-
-
Collobert, R.1
Weston, J.2
-
7
-
-
24644524200
-
Visual categorization with bags of keypoints
-
G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray. Visual categorization with bags of keypoints. In Proc. of ECCV Workshop on Statistical Learning for Computer Vision, 2004.
-
(2004)
Proc. of ECCV Workshop on Statistical Learning for Computer Vision
-
-
Csurka, G.1
Dance, C.2
Fan, L.3
Willamowski, J.4
Bray, C.5
-
8
-
-
0345120094
-
Improving information retrieval with latent semantic indexing
-
S. Deerwester. Improving Information Retrieval with Latent Semantic Indexing. In Proceedings of (ASIS '88), 1988.
-
(1988)
Proceedings of (ASIS '88)
-
-
Deerwester, S.1
-
9
-
-
80053452684
-
Sparse additive generative models of text
-
L. Getoor and T. Scheffer, editors Omnipress
-
J. Eisenstein, A. Ahmed, and E. P. Xing. Sparse additive generative models of text. In L. Getoor and T. Scheffer, editors, ICML, pages 1041-1048. Omnipress, 2011.
-
(2011)
ICML
, pp. 1041-1048
-
-
Eisenstein, J.1
Ahmed, A.2
Xing, E.P.3
-
11
-
-
85026972772
-
Probabilistic latent semantic indexing
-
ACM
-
T. Hofmann. Probabilistic latent semantic indexing. In SIGIR. ACM, 1999.
-
(1999)
SIGIR
-
-
Hofmann, T.1
-
12
-
-
84898982939
-
Exploiting generative models in discriminative classifiers
-
Cambridge, MA, USA MIT Press
-
T. S. Jaakkola and D. Haussler. Exploiting generative models in discriminative classifiers. In NIPS, Cambridge, MA, USA, 1999. MIT Press.
-
(1999)
NIPS
-
-
Jaakkola, T.S.1
Haussler, D.2
-
13
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
October
-
D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, October 1999.
-
(1999)
Nature
, vol.401
, Issue.6755
, pp. 788-791
-
-
Lee, D.D.1
Seung, H.S.2
-
14
-
-
84859023447
-
Learning word vectors for sentiment analysis
-
A. L. Maas, R. E. Daly, P. T. Pham, D. Huang, A. Y. Ng, and C. Potts. Learning word vectors for sentiment analysis. In ACL, pages 142-150, 2011.
-
(2011)
ACL
, pp. 142-150
-
-
Maas, A.L.1
Daly, R.E.2
Pham, P.T.3
Huang, D.4
Ng, A.Y.5
Potts, C.6
-
15
-
-
34948815101
-
Fisher kernels on visual vocabularies for image categorization
-
F. Perronnin and C. R. Dance. Fisher kernels on visual vocabularies for image categorization. In CVPR, 2007.
-
(2007)
CVPR
-
-
Perronnin, F.1
Dance, C.R.2
-
16
-
-
77955992063
-
Large-scale image retrieval with compressed fisher vectors
-
F. Perronnin, Y. Liu, J. Sanchez, and H. Poirier. Large-scale image retrieval with compressed fisher vectors. In CVPR, 2010.
-
(2010)
CVPR
-
-
Perronnin, F.1
Liu, Y.2
Sanchez, J.3
Poirier, H.4
-
18
-
-
48349135120
-
Probabilistic matrix factorization
-
R. Salakhutdinov and A. Mnih. Probabilistic matrix factorization. In NIPS, 2007.
-
(2007)
NIPS
-
-
Salakhutdinov, R.1
Mnih, A.2
|