Fei Sha
Title
Cited by
Cited by
Year
Shallow parsing with conditional random fields
F Sha, F Pereira
Proceedings of the 2003 Human Language Technology Conference of the North …, 2003
18292003
Geodesic flow kernel for unsupervised domain adaptation
B Gong, Y Shi, F Sha, K Grauman
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2066-2073, 2012
15962012
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
6952012
Learning a kernel matrix for nonlinear dimensionality reduction
KQ Weinberger, F Sha, LK Saul
Proceedings of the twenty-first international conference on Machine learning …, 2004
5452004
Synthesized classifiers for zero-shot learning
S Changpinyo, WL Chao, B Gong, F Sha
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4762016
DiscLDA: Discriminative learning for dimensionality reduction and classification
S Lacoste-Julien, F Sha, MI Jordan
Advances in neural information processing systems, 897-904, 2009
4632009
Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
B Gong, K Grauman, F Sha
International Conference on Machine Learning, 222-230, 2013
4242013
Learning globally-consistent local distance functions for shape-based image retrieval and classification
A Frome, Y Singer, F Sha, J Malik
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
4242007
Video summarization with long short-term memory
K Zhang, WL Chao, F Sha, K Grauman
European conference on computer vision, 766-782, 2016
3572016
Multiplicative updates for nonnegative quadratic programming in support vector machines
F Sha, L Saul, D Lee
Advances in neural information processing systems 15, 1065-1072, 2002
3452002
Learning with Whom to Share in Multi-task Feature Learning.
Z Kang, K Grauman, F Sha
ICML 2 (3), 4, 2011
3142011
Spectral methods for dimensionality reduction.
LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee
Semi-supervised learning 3, 2006
3012006
Diverse sequential subset selection for supervised video summarization
B Gong, WL Chao, K Grauman, F Sha
Advances in neural information processing systems, 2069-2077, 2014
2902014
An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
WL Chao, S Changpinyo, B Gong, F Sha
European Conference on Computer Vision, 52-68, 2016
2572016
Deformable spatial pyramid matching for fast dense correspondences
J Kim, C Liu, F Sha, K Grauman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
2362013
Large margin hidden Markov models for automatic speech recognition
F Sha, L Saul
Advances in neural information processing systems 19, 1249-1256, 2006
2322006
Non-linear metric learning
D Kedem, S Tyree, F Sha, G Lanckriet, KQ Weinberger
Advances in neural information processing systems 25, 2573-2581, 2012
2172012
Large margin Gaussian mixture modeling for phonetic classification and recognition
F Sha, LK Saul
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
1892006
Summary transfer: Exemplar-based subset selection for video summarization
K Zhang, WL Chao, F Sha, K Grauman
Proceedings of the IEEE conference on computer vision and pattern …, 2016
1532016
Information-theoretical learning of discriminative clusters for unsupervised domain adaptation
Y Shi, F Sha
arXiv preprint arXiv:1206.6438, 2012
1532012
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Articles 1–20