-
2
-
-
77956517811
-
Learning tree conditional random fields
-
J. Bradley and C. Guestrin. Learning tree conditional random fields. In ICML, 2010.
-
(2010)
ICML
-
-
Bradley, J.1
Guestrin, C.2
-
3
-
-
79960230920
-
Visual recognition with humans in the loop
-
S. Branson, C. Wah, F. Schroff, B. Babenko, P. Welinder, P. Perona, and S. Belongie. Visual recognition with humans in the loop. In ECCV, 2010.
-
(2010)
ECCV
-
-
Branson, S.1
Wah, C.2
Schroff, F.3
Babenko, B.4
Welinder, P.5
Perona, P.6
Belongie, S.7
-
4
-
-
77956006912
-
Exploiting hierarchical context on a large database of object categories
-
M. Choi, J. Lim, A. Torralba, and A. Willsky. Exploiting hierarchical context on a large database of object categories. In CVPR, 2010.
-
(2010)
CVPR
-
-
Choi, M.1
Lim, J.2
Torralba, A.3
Willsky, A.4
-
5
-
-
84933530882
-
Approximating discrete probability distributions with dependence trees
-
C. Chow and C. Liu. Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, 14(3):462-467, 1968.
-
(1968)
IEEE Transactions on Information Theory
, vol.14
, Issue.3
, pp. 462-467
-
-
Chow, C.1
Liu, C.2
-
6
-
-
80052876786
-
What does classifying more than 10, 000 image categories tell us?
-
J. Deng, A. Berg, K. Li, and F.-F. Li. What does classifying more than 10, 000 image categories tell us? In ECCV, 2010.
-
(2010)
ECCV
-
-
Deng, J.1
Berg, A.2
Li, K.3
Li, F.-F.4
-
7
-
-
77953180995
-
Discriminative models for multi-class object layout
-
C. Desai, D. Ramanan, and C. Fowlkes. Discriminative models for multi-class object layout. In ICCV, 2009.
-
(2009)
ICCV
-
-
Desai, C.1
Ramanan, D.2
Fowlkes, C.3
-
8
-
-
46149118255
-
A discriminative kernel-based model to rank images from text queries
-
D. Grangier and S. Bengio. A discriminative kernel-based model to rank images from text queries. PAMI, 30(8):1371-1384, 2008.
-
(2008)
PAMI
, vol.30
, Issue.8
, pp. 1371-1384
-
-
Grangier, D.1
Bengio, S.2
-
9
-
-
77953202699
-
Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation
-
M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid. Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation. In ICCV, 2009.
-
(2009)
ICCV
-
-
Guillaumin, M.1
Mensink, T.2
Verbeek, J.3
Schmid, C.4
-
10
-
-
77952340395
-
The MIR Flickr retrieval evaluation
-
M. Huiskes and M. Lew. The MIR Flickr retrieval evaluation. In ACM MIR, 2008.
-
(2008)
ACM MIR
-
-
Huiskes, M.1
Lew, M.2
-
11
-
-
70450172710
-
Learning to detect unseen object classes by between-class attribute transfer
-
C. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In CVPR, 2009.
-
(2009)
CVPR
-
-
Lampert, C.1
Nickisch, H.2
Harmeling, S.3
-
12
-
-
80052405024
-
New strategies for image annotation: Overview of the photo annotation task at ImageCLEF 2010
-
S. Nowak and M. Huiskes. New strategies for image annotation: Overview of the photo annotation task at ImageCLEF 2010. In Working Notes of CLEF, 2010.
-
(2010)
Working Notes of CLEF
-
-
Nowak, S.1
Huiskes, M.2
-
13
-
-
79959771606
-
Improving the Fisher kernel for large-scale image classification
-
F. Perronnin, J. Sánchez, and T. Mensink. Improving the Fisher kernel for large-scale image classification. In ECCV, 2010.
-
(2010)
ECCV
-
-
Perronnin, F.1
Sánchez, J.2
Mensink, T.3
-
15
-
-
50649096757
-
Objects in context
-
A. Rabinovich, A. Vedaldi, C. Galleguillos, E. Wiewiora, and S. Belongie. Objects in context. In ICCV, 2007.
-
(2007)
ICCV
-
-
Rabinovich, A.1
Vedaldi, A.2
Galleguillos, C.3
Wiewiora, E.4
Belongie, S.5
-
16
-
-
68949137209
-
Active learning literature survey
-
University of Wisconsin-Madison
-
B. Settles. Active learning literature survey. Technical Report 1648, University of Wisconsin-Madison, 2009.
-
(2009)
Technical Report 1648
-
-
Settles, B.1
-
17
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. Large margin methods for structured and interdependent output variables. JMLR, 6:1453-1484, 2005.
-
(2005)
JMLR
, vol.6
, pp. 1453-1484
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
-
18
-
-
84858754668
-
Multi-level active prediction of useful image annotations for recognition
-
S. Vijayanarasimhan and K. Grauman. Multi-level active prediction of useful image annotations for recognition. In NIPS, 2009.
-
(2009)
NIPS
-
-
Vijayanarasimhan, S.1
Grauman, K.2
-
19
-
-
77955654853
-
Large scale image annotation: Learning to rank with joint word-image embeddings
-
J. Weston, S. Bengio, and N. Usunier. Large scale image annotation: Learning to rank with joint word-image embeddings. In ECML, 2010.
-
(2010)
ECML
-
-
Weston, J.1
Bengio, S.2
Usunier, N.3
-
20
-
-
33846580425
-
Local features and kernels for classification of texture and object categories: A comprehensive study
-
J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid. Local features and kernels for classification of texture and object categories: A comprehensive study. IJCV, 73(2):213-238, 2007.
-
(2007)
IJCV
, vol.73
, Issue.2
, pp. 213-238
-
-
Zhang, J.1
Marszalek, M.2
Lazebnik, S.3
Schmid, C.4
|