-
1
-
-
27844439373
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
1222.68133 2249873
-
Ando, R.; Zhang, T. (2005). A framework for learning predictive structures from multiple tasks and unlabeled data. JMLR, 6, 1817-1853.
-
(2005)
JMLR
, vol.6
, pp. 1817-1853
-
-
Ando, R.1
Zhang, T.2
-
3
-
-
84897573740
-
A theory of learning from different domains
-
10.1007/s10994-009-5152-4 3108150
-
Ben-David, S.; Blitzer, J.; Crammer, K.; Kulesza, A.; Pereira, F.; Wortman, J. (2010). A theory of learning from different domains. Machine Learning, 79, 151-175.
-
(2010)
Machine Learning
, vol.79
, pp. 151-175
-
-
Ben-David, S.1
Blitzer, J.2
Crammer, K.3
Kulesza, A.4
Pereira, F.5
Wortman, J.6
-
5
-
-
85161970767
-
Exploiting weakly-labeled web images to improve object classification: A domain adaptation approach
-
Bergamo, A.; Torresani, L. (2010). Exploiting weakly-labeled web images to improve object classification: a domain adaptation approach. In NIPS.
-
(2010)
NIPS
-
-
Bergamo, A.1
Torresani, L.2
-
6
-
-
84860524227
-
Biographies, Bolly-wood, boomboxes and blenders: Domain adaptation for sentiment classification
-
Blitzer, J.; Dredze, M.; Pereira, F. (2007). Biographies, Bolly-wood, boomboxes and blenders: Domain adaptation for sentiment classification. In ACL.
-
(2007)
ACL
-
-
Blitzer, J.1
Dredze, M.2
Pereira, F.3
-
8
-
-
80053342456
-
Domain adaptation with structural correspondence learning
-
Blitzer, J.; McDonald, R.; Pereira, F. (2006). Domain adaptation with structural correspondence learning. In EMNLP.
-
(2006)
EMNLP
-
-
Blitzer, J.1
McDonald, R.2
Pereira, F.3
-
9
-
-
77949852900
-
Domain adaptation problems: A DASVM classification technique and a circular validation strategy
-
10.1109/TPAMI.2009.57
-
Bruzzone, L.; Marconcini, M. (2010). Domain adaptation problems: A DASVM classification technique and a circular validation strategy. IEEE PAMI, 32(5), 770-787.
-
(2010)
IEEE PAMI
, vol.32
, Issue.5
, pp. 770-787
-
-
Bruzzone, L.1
Marconcini, M.2
-
11
-
-
84860513476
-
Frustratingly easy domain adaptation
-
Daumé, H.; III. (2007). Frustratingly easy domain adaptation. In ACL.
-
(2007)
ACL.
-
-
Daumé III, H.1
-
12
-
-
85162030733
-
Co-regularization based semi-supervised domain adaptation
-
Daumé, H.; Kumar, A.; Saha, A. (2010). Co-regularization based semi-supervised domain adaptation. In NIPS.
-
(2010)
NIPS.
-
-
Daumé, H.1
Kumar, A.2
Saha, A.3
-
13
-
-
33749028480
-
Domain adaptation for statistical classifiers
-
1161.68724 2306416
-
Daumé, H, I. I. I.; Marcu, D. (2006). Domain adaptation for statistical classifiers. Journal of Artificial Intelligence Research, 26(1), 101-126.
-
(2006)
Journal of Artificial Intelligence Research
, vol.26
, Issue.1
, pp. 101-126
-
-
Daumé III, H.1
Marcu, D.2
-
14
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
Deng, J.; Dong, W.; Socher, R.; Li, L. J.; Li, K.; Fei-Fei, L. (2009). ImageNet: A large-scale hierarchical image database. In CVPR.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li L., .J.4
Li, K.5
Fei-Fei, L.6
-
17
-
-
70450185098
-
Domain transfer SVM for video concept detection
-
Duan, L.; Tsang, I.; Xu, D.; Maybank, S. (2009). Domain transfer SVM for video concept detection. In CVPR.
-
(2009)
CVPR
-
-
Duan, L.1
Tsang, I.2
Xu, D.3
Maybank, S.4
-
18
-
-
84862192949
-
Domain adaptation from multiple sources: A domain-dependent regularization approach
-
10.1109/TNNLS.2011.2178556
-
Duan, L.; Xu, D.; Tsang, I. (2012). Domain adaptation from multiple sources: A domain-dependent regularization approach. IEEE Transactions on Neural Networks and Learning Systems, 23(3), 504-518.
-
(2012)
IEEE Transactions on Neural Networks and Learning Systems
, vol.23
, Issue.3
, pp. 504-518
-
-
Duan, L.1
Xu, D.2
Tsang, I.3
-
19
-
-
77956003629
-
Visual event recognition in videos by learning from web data
-
Duan, L.; Xu, D.; Tsang, I.; Luo, J. (2010) Visual event recognition in videos by learning from web data. In CVPR.
-
(2010)
CVPR
-
-
Duan, L.1
Xu, D.2
Tsang, I.3
Luo, J.4
-
20
-
-
84921069139
-
-
Everingham, M.; Van Gool, L.; Williams, C. K. I.; Winn, J.; Zisserman, A. (2007). The PASCAL visual object classes, challenge 2007.
-
(2007)
The PASCAL Visual Object Classes, Challenge 2007
-
-
Everingham, M.1
Van Gool, L.2
Williams C. .K., .I.3
Winn, J.4
Zisserman, A.5
-
21
-
-
34047174674
-
Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
-
10.1016/j.cviu.2005.09.012
-
Fei-Fei, L.; Fergus, R.; Perona, P. (2007). Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. Comp Vis & Img Under, 106(1), 59-70.
-
(2007)
Comp Vis & Img under
, vol.106
, Issue.1
, pp. 59-70
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
22
-
-
84897476317
-
Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
-
Gong, B.; Grauman, K.; Sha, F. (2013a). Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation. In ICML.
-
(2013)
ICML
-
-
Gong, B.1
Grauman, K.2
Sha, F.3
-
23
-
-
84899010695
-
Reshaping visual datasets for domain adaptation
-
Gong, B.; Grauman, K.; Sha, F. (2013b). Reshaping visual datasets for domain adaptation. In NIPS.
-
(2013)
NIPS.
-
-
Gong, B.1
Grauman, K.2
Sha, F.3
-
24
-
-
84866657270
-
Geodesic flow kernel for unsupervised domain adaptation
-
Gong, B.; Shi, Y.; Sha, F.; Grauman, K. (2012). Geodesic flow kernel for unsupervised domain adaptation. In CVPR.
-
(2012)
CVPR
-
-
Gong, B.1
Shi, Y.2
Sha, F.3
Grauman, K.4
-
25
-
-
84887329810
-
Learning cross-domain information transfer for location recognition and clustering
-
Gopalan, R. (2013). Learning cross-domain information transfer for location recognition and clustering. In CVPR.
-
(2013)
CVPR
-
-
Gopalan, R.1
-
26
-
-
84863396387
-
Domain adaptation for object recognition: An unsupervised approach
-
Gopalan, R.; Li, R.; Chellappa, R. (2011). Domain adaptation for object recognition: An unsupervised approach. In ICCV.
-
(2011)
ICCV
-
-
Gopalan, R.1
Li, R.2
Chellappa, R.3
-
27
-
-
85148036176
-
A kernel method for the two-sample-problem
-
Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A. (2006). A kernel method for the two-sample-problem. In NIPS.
-
(2006)
NIPS.
-
-
Gretton, A.1
Borgwardt, K.2
Rasch, M.3
Schölkopf, B.4
Smola, A.5
-
28
-
-
70349847999
-
Covariate shift by kernel mean matching
-
J. Quionero-Candela, M. Sugiyama, A. Schwaighofer, & N. Lawrence (Eds.) Cambridge: MIT Press
-
Gretton, A.; Smola, A.; Huang, J.; Schmittfull, M.; Borgwardt, K.; Scholkopf, B. (2009). Covariate shift by kernel mean matching. In J. Quionero-Candela, M. Sugiyama, A. Schwaighofer, & N. Lawrence (Eds.), Dataset shift in machine learning. Cambridge: MIT Press.
-
(2009)
Dataset Shift in Machine Learning
-
-
Gretton, A.1
Smola, A.2
Huang, J.3
Schmittfull, M.4
Borgwardt, K.5
Scholkopf, B.6
-
30
-
-
11144299132
-
A kernel view of the dimensionality reduction of manifolds
-
Ham, J.; Lee, D. D.; Mika, S.; Schölkopf, B. (2004). A kernel view of the dimensionality reduction of manifolds. In ICML.
-
(2004)
ICML
-
-
Ham, J.1
Lee D., .D.2
Mika, S.3
Schölkopf, B.4
-
31
-
-
56449127949
-
Grassmann discriminant analysis: A unifying view on subspace-based learning
-
Hamm, J.; Lee, D. (2008). Grassmann discriminant analysis: A unifying view on subspace-based learning. In ICML.
-
(2008)
ICML
-
-
Hamm, J.1
Lee, D.2
-
33
-
-
85151274557
-
Correcting sample selection bias by unlabeled data
-
Huang, J.; Smola, A.; Gretton, A.; Borgwardt, K.; Scholkopf, B. (2006). Correcting sample selection bias by unlabeled data. In NIPS.
-
(2006)
NIPS.
-
-
Huang, J.1
Smola, A.2
Gretton, A.3
Borgwardt, K.4
Scholkopf, B.5
-
34
-
-
80052911160
-
Online domain adaptation of a pre-trained cascade of classifiers
-
Jain, V.; Learned-Miller, E. (2011). Online domain adaptation of a pre-trained cascade of classifiers. In CVPR.
-
(2011)
CVPR
-
-
Jain, V.1
Learned-Miller, E.2
-
35
-
-
80052895155
-
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
-
Kulis, B, Saenko, K.; Darrell, T. (2011). What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. In CVPR.
-
(2011)
CVPR
-
-
Kulis, B.1
Saenko, K.2
Darrell, T.3
-
36
-
-
8844278523
-
Learning the kernel matrix with semidefinite programming
-
1222.68241
-
Lanckriet, G. R. G.; Cristianini, N.; Bartlett, P.; Ghaoui, L. E.; Jordan, M. (2004). Learning the kernel matrix with semidefinite programming. JMLR, 5, 27-72.
-
(2004)
JMLR
, vol.5
, pp. 27-72
-
-
Lanckriet, G.R.G.1
Cristianini, N.2
Bartlett, P.3
Ghaoui, L.E.4
Jordan, M.5
-
37
-
-
0029288633
-
Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
-
10.1006/csla.1995.0010
-
Leggetter, C.; Woodland, P. (1995). Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models. Computer Speech and Language, 9(2), 171-185.
-
(1995)
Computer Speech and Language
, vol.9
, Issue.2
, pp. 171-185
-
-
Leggetter, C.1
Woodland, P.2
-
38
-
-
84866660383
-
Discriminative virtual views for cross-view action recognition
-
Li, R.; Zickler, T. (2012). Discriminative virtual views for cross-view action recognition. In CVPR.
-
(2012)
CVPR
-
-
Li, R.1
Zickler, T.2
-
40
-
-
71049149704
-
Multiple source adaptation and the rényi divergence
-
Mansour, Y.; Mohri, M.; Rostamizadeh, A. (2009b). Multiple source adaptation and the rényi divergence. In UAI.
-
(2009)
UAI
-
-
Mansour, Y.1
Mohri, M.2
Rostamizadeh, A.3
-
41
-
-
84876722484
-
Domain adaptation via transfer component analysis
-
Pan, S.; Tsang, I.; Kwok, J.; Yang, Q. (2009). Domain adaptation via transfer component analysis. IEEE Trans Neural Nets, 99, 1-12.
-
(2009)
IEEE Trans Neural Nets
, vol.99
, pp. 1-12
-
-
Pan, S.1
Tsang, I.2
Kwok, J.3
Yang, Q.4
-
43
-
-
77956008923
-
Large-scale image categorization with explicit data embedding
-
Perronnin, F.; Sánchez, J.; Liu, Y. (2010). Large-scale image categorization with explicit data embedding. In CVPR.
-
(2010)
CVPR
-
-
Perronnin, F.1
Sánchez, J.2
Liu, Y.3
-
44
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
10.1126/science.290.5500.2323
-
Roweis, S. T.; Saul, L. K. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500), 2323-2326.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
45
-
-
39749186006
-
LabelMe: A database and web-based tool for image annotation
-
10.1007/s11263-007-0090-8
-
Russell, B. C.; Torralba, A.; Murphy, K. P.; Freeman, W. T. (2008). LabelMe: A database and web-based tool for image annotation. IJCV, 77, 157-173.
-
(2008)
IJCV
, vol.77
, pp. 157-173
-
-
Russell, B.C.1
Torralba, A.2
Murphy, K.P.3
Freeman, W.T.4
-
47
-
-
84867124651
-
Information-theoretical learning of discriminative clusters for unsupervised domain adaptation
-
Shi, Y, & Sha, F. (2012). Information-theoretical learning of discriminative clusters for unsupervised domain adaptation. In ICML.
-
(2012)
ICML
-
-
Shi, Y.1
Sha, F.2
-
48
-
-
0037527188
-
Improving predictive inference under covariate shift by weighting the log-likelihood function
-
10.1016/S0378-3758(00)00115-4 0958.62011 1795598
-
Shimodaira, H. (2000). Improving predictive inference under covariate shift by weighting the log-likelihood function. Journal of Statistical Planning and Inference, 90(2), 227-244.
-
(2000)
Journal of Statistical Planning and Inference
, vol.90
, Issue.2
, pp. 227-244
-
-
Shimodaira, H.1
-
49
-
-
80052908300
-
Unbiased look at dataset bias
-
Torralba, A.; Efros, A. (2011). Unbiased look at dataset bias. In CVPR.
-
(2011)
CVPR
-
-
Torralba, A.1
Efros, A.2
-
51
-
-
80052885969
-
Automatic adaptation of a generic pedestrian detector to a specific traffic scene
-
Wang, M.; Wang, X. (2011). Automatic adaptation of a generic pedestrian detector to a specific traffic scene. In CVPR.
-
(2011)
CVPR
-
-
Wang, M.1
Wang, X.2
-
52
-
-
33744949513
-
Unsupervised learning of image manifolds by semidefinite programming
-
10.1007/s11263-005-4939-z
-
Weinberger, K. Q.; Saul, L. K. (2006). Unsupervised learning of image manifolds by semidefinite programming. International Journal of Computer Vision, 70(1), 77-90.
-
(2006)
International Journal of Computer Vision
, vol.70
, Issue.1
, pp. 77-90
-
-
Weinberger, K.Q.1
Saul, L.K.2
|