-
1
-
-
84863396387
-
Domain adaptation for object recognition: An unsupervised approach
-
1, 3
-
R. G. ad R. Li and R. Chellappa. Domain adaptation for object recognition: An unsupervised approach. In ICCV, 2011. 1, 3
-
(2011)
ICCV
-
-
Ad Li R, R.G.1
Chellappa, R.2
-
2
-
-
84897573740
-
A theory of learning from different domains
-
2
-
S. Ben-David, J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. Vaughan. A theory of learning from different domains. Machine learning, 2010. 2
-
(2010)
Machine Learning
-
-
Ben-David, S.1
Blitzer, J.2
Crammer, K.3
Kulesza, A.4
Pereira, F.5
Vaughan, J.6
-
5
-
-
85161970767
-
Exploiting weakly-labeled web images to improve object classification: A domain adaptation approach
-
3
-
A. Bergamo and L. Torresani. Exploiting weakly-labeled web images to improve object classification: A domain adaptation approach. In NIPS, 2010. 3
-
(2010)
NIPS
-
-
Bergamo, A.1
Torresani, L.2
-
6
-
-
85161961443
-
Learning bounds for domain adaptation
-
3
-
J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. Wortman. Learning bounds for domain adaptation. In NIPS, 2008. 3
-
(2008)
NIPS
-
-
Blitzer, J.1
Crammer, K.2
Kulesza, A.3
Pereira, F.4
Wortman, J.5
-
7
-
-
84860524227
-
Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
-
2
-
J. Blitzer, M. Dredze, and F. Pereira. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL, 2007. 2
-
(2007)
ACL
-
-
Blitzer, J.1
Dredze, M.2
Pereira, F.3
-
9
-
-
78751695885
-
Manifold alignment without correspondence
-
3
-
C.Wang and S. Mahadevan. Manifold alignment without correspondence. In IJCAI, 2009. 3
-
(2009)
IJCAI
-
-
Wang, C.1
Mahadevan, S.2
-
12
-
-
50949133669
-
LIBLINEAR: A library for large linear classification
-
5
-
R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 9:1871-1874, 2008. 5
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 1871-1874
-
-
Fan, R.-E.1
Chang, K.-W.2
Hsieh, C.-J.3
Wang, X.-R.4
Lin, C.-J.5
-
13
-
-
77955422240
-
Object detection with discriminatively trained part based models
-
2, 5
-
P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. TPAMI, 2010. 2, 5
-
(2010)
TPAMI
-
-
Felzenszwalb, P.F.1
Girshick, R.B.2
McAllester, D.3
Ramanan, D.4
-
14
-
-
84856653205
-
Discriminative mixture-of-templates for viewpoint classification
-
2
-
C. Gu and X. Ren. Discriminative mixture-of-templates for viewpoint classification. In ECCV, 2010. 2
-
(2010)
ECCV
-
-
Gu, C.1
Ren, X.2
-
15
-
-
80052911160
-
Online domain-adaptation of a pre-trained cascade of classifiers
-
1, 3
-
V. Jain and E. Learned-Miller. Online domain-adaptation of a pre-trained cascade of classifiers. In CVPR, 2011. 1, 3
-
(2011)
CVPR
-
-
Jain, V.1
Learned-Miller, E.2
-
16
-
-
0018777412
-
The internal representation of solid shape with respect to vision
-
2
-
J. Koenderink and A. van Doorn. The internal representation of solid shape with respect to vision. Biological Cybernetics, 1979. 2
-
(1979)
Biological Cybernetics
-
-
Koenderink, J.1
Van Doorn, A.2
-
17
-
-
80052895155
-
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
-
1, 3
-
B. Kulis, K. Saenko, and T. Darrell. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. In CVPR, 2011. 1, 3
-
(2011)
CVPR
-
-
Kulis, B.1
Saenko, K.2
Darrell, T.3
-
18
-
-
77954064287
-
Object recognition in 3D point clouds using web data and domain adaptation
-
3
-
K. Lai and D. Fox. Object recognition in 3D point clouds using web data and domain adaptation. International Journal of Robotics Research, 2010. 3
-
(2010)
International Journal of Robotics Research
-
-
Lai, K.1
Fox, D.2
-
20
-
-
79951681949
-
Domain adaptation via transfer component analysis
-
2, 3
-
S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang. Domain adaptation via transfer component analysis. IEEE Transac-tions on Neural Networks, 22(2), 2011. 2, 3
-
(2011)
IEEE Transac-tions on Neural Networks
, vol.22
, Issue.2
-
-
Pan, S.J.1
Tsang, I.W.2
Kwok, J.T.3
Yang, Q.4
-
22
-
-
78149301639
-
Adapting visual category models to new domains
-
1, 3
-
K. Saenko, B. Kulis, M. Fritz, and T. Darrell. Adapting visual category models to new domains. In ECCV, 2010. 1, 3
-
(2010)
ECCV
-
-
Saenko, K.1
Kulis, B.2
Fritz, M.3
Darrell, T.4
-
23
-
-
50649097874
-
3D generic object categorization, localization and pose estimation
-
2
-
S. Savarese and L. Fei-Fei. 3D generic object categorization, localization and pose estimation. In ICCV, 2007. 2
-
(2007)
ICCV
-
-
Savarese, S.1
Fei-Fei, L.2
-
24
-
-
77953177125
-
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
-
2
-
H. Su, M. Sun, L. Fei-Fei, and S. Savarese. Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories. In ICCV, 2009. 2
-
(2009)
ICCV
-
-
Su, H.1
Sun, M.2
Fei-Fei, L.3
Savarese, S.4
-
25
-
-
33845572731
-
Towards multi-view object class detection
-
2
-
A. Thomas, V. Ferrari, B. Leibe, T. Tuytelaars, B. Schiele, and L. V. Gool. Towards multi-view object class detection. In CVPR, 2006. 2
-
(2006)
CVPR
-
-
Thomas, A.1
Ferrari, V.2
Leibe, B.3
Tuytelaars, T.4
Schiele, B.5
Gool, L.V.6
-
26
-
-
50649122554
-
3D model based object class detection in an arbitrary view
-
2
-
P. Yan, S. M. Khan, and M. Shah. 3D model based object class detection in an arbitrary view. In ICCV, 2007. 2
-
(2007)
ICCV
-
-
Yan, P.1
Khan, S.M.2
Shah, M.3
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