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In real-world visual recognition problems, the assumption that the training data (source domain) and test data (target domain) are sampled from the same distribution is often violated.
The cmu pose, illumination, and expression database
T. Sim, S. Baker, and M. Bsat · 2003
Earlier work this paper cites.
Appearance-based face recognition and light-fields
R. Gross, I. Matthews, and S. Baker · 2004
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K-SVD : An algorithm for designing of overcomplete dictionaries for sparse representation
M. Aharon, M. Elad, and A. Bruckstein · 2006
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Caltech-256 object category dataset
G. Griffin, A. Holub, and P. Perona · 2007
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Signal recovery from random measurements via orthogonal matching pursuit
J. A. Tropp and A. C. Gilbert · 2007
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Cross-domain video concept detection using adaptive svms
J. Yang, R. Yan, and A. G. Hauptmann · 2007
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Recognition of blurred faces using local phase quantization
T. Ahonen, E. Rahtu, V. Ojansivu, and J. Heikkilä · 2008
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Speeded-up robust features (surf)
H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool · 2008
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Robust estimation of albedo for illumination-invariant matching and shape recovery
S. Biswas, G. Aggarwal, and R. Chellappa · 2009
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Domain transfer svm for video concept detection
L. Duan, I. W. Tsang, D. Xu, and S. J. Maybank · 2009
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Domain adaptation via transfer component analysis
S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang · 2009
Earlier work this paper cites.
Visual event recognition in videos by learning from web data
L. Duan, D. Xu, I. W. Tsang, and J. Luo · 2010
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Online learning for matrix factorization and sparse coding
J. Mairal, F. Bach, J. Ponce, and G. Sapiro · 2010
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Adapting visual category models to new domains
K. Saenko, B. Kulis, M. Fritz, and T. Darrell · 2010
Earlier work this paper cites.
Domain adaptation for object recognition: An unsupervised approach
R. Gopalan, R. Li, and R. Chellappa · 2011
Earlier work this paper cites.
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
B. Kulis, K. Saenko, and T. Darrell · 2011
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Domain transfer multiple kernel learning
L. Duan, I. W. Tsang, and D. Xu · 2012
Earlier work this paper cites.
Geodesic flow kernel for unsupervised domain adaptation
B. Gong, Y. Shi, F. Sha, and K. Grauman · 2012
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A kernel two-sample test
A. Gretton, K. M. Borgwardt, M. J. Rasch, B. Schölkopf, and A. J. Smola · 2012
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A dictionary learning approach for classification: Separating the particularity and the commonality
S. Kong and D. Wang · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Domain adaptive dictionary learning
Q. Qiu, V. Patel, P. Turage, and R. Chellappa · 2012
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Information-theoretical learning of discriminative clusters for unsupervised domain adaptation
Y. Shi and F. Sha · 2012
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Domain adaptive neural networks for object recognition
M. Ghifary, W. B. Kleijn, and M. Zhang · 2014
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Transfer joint matching for unsupervised domain adaptation
M. Long, J. Wang, G. Ding, J. Sun, and P. S. Yu · 2014
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Visual domain adaptation: An overview of recent advances
V. M. Patel, R. Gopalan, and R. Chellappa · 2014
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Unsupervised domain adaptation using parallel transport on grassmann manifold
A. Shrivastava, S. Shekhar, and V. M. Patel · 2014
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Deep domain confusion: Maximizing for domain invariance
E. Tzeng, J. Hoffman, N. Zhang, K. Saenko, and T. Darrell · 2014
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Virtual and real world adaptation for pedestrian detection
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Face detection, pose estimation, and landmark localization in the wild
X. Zhu and D. Ramanan · 2012
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Unsupervised domain adaptation by domain invariant projection
M. Baktashmotlagh, M. T. Harandi, B. C. Lovell, and M. Salzmann · 2013
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Dlid: Deep learning for domain adaptation by interpolating between domains
S. Chopra, S. Balakrishnan, and R. Gopalan · 2013
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Unsupervised visual domain adaptation using subspace alignment
B. Fernando, A. Habrard, M. Sebban, and T. Tuytelaars · 2013
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Transfer feature learning with joint distribution adaptation
M. Long, J. Wang, G. Ding, J. Sun, and P. S. Yu · 2013
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Subspace interpolation via dictionary learning for unsupervised domain adaptation
J. Ni, Q. Qiu, and R. Chellappa · 2013
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D. Vázquez, A. M. López, J. Marín, D. Ponsa, and D. G. Gomez · 2014
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Unsupervised domain adaptation by backpropagation
Y. Ganin and V. S. Lempitsky · 2015
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Learning transferable features with deep adaptation networks
M. Long, Y. Cao, J. Wang, and M. I. Jordan · 2015
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Bridging the domain shift by domain adaptive dictionary learning
H. Xu, J. Zheng, and R. Chellappa · 2015
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Touch gesture-based active user authentication using dictionaries
H. Zhang, V. M. Patel, M. E. Fathy, and R. Chellappa · 2015
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Domain adaptive sparse representation-based classification
H. Zhang, V. M. Patel, S. Shekhar, and R. Chellappa · 2015
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Return of frustratingly easy domain adaptation
B. Sun, J. Feng, and K. Saenko · 2016
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Learning a structured dictionary for video-based face recognition
H. Xu, J. Zheng, A. Alavi, and R. Chellappa · 2016
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Template regularized sparse coding for face verification
H. Xu, J. Zheng, A. Alavi, and R. Chellappa · 2016
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Deep heterogeneous feature fusion for template-based face recognition
N. Bodla, J. Zheng, H. Xu, J. Chen, C. D. Castillo, and R. Chellappa · 2017
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Deep regionlets for object detection
H. Xu, X. Lv, X. Wang, Z. Ren, N. Bodla, and R. Chellappa · 2017
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