Fei Sha
Fei Sha
Associate Professor of Computer Science, U. of Southern California
Verified email at usc.edu - Homepage
TitleCited byYear
Shallow parsing with conditional random fields
F Sha, F Pereira
Proceedings of the 2003 Conference of the North American Chapter of the …, 2003
17372003
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
11572012
Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
5512012
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
5212004
DiscLDA: Discriminative learning for dimensionality reduction and classification
S Lacoste-Julien, F Sha, MI Jordan
Advances in neural information processing systems, 897-904, 2009
4302009
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
3992007
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
3352016
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
3292013
Spectral methods for dimensionality reduction
LK Saul, KQ Weinberger, JH Ham, F Sha, DD Lee
Semisupervised learning, 293-308, 2006
2742006
Learning with Whom to Share in Multi-task Feature Learning.
Z Kang, K Grauman, F Sha
ICML 2 (3), 4, 2011
2702011
Video summarization with long short-term memory
K Zhang, WL Chao, F Sha, K Grauman
European conference on computer vision, 766-782, 2016
2342016
Large margin hidden Markov models for automatic speech recognition
F Sha, LK Saul
Advances in neural information processing systems, 1249-1256, 2007
2232007
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
2152014
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
2142013
Multiplicative updates for nonnegative quadratic programming in support vector machines
F Sha, LK Saul, DD Lee
Advances in neural information processing systems, 1065-1072, 2003
1872003
Non-linear metric learning
D Kedem, S Tyree, F Sha, GR Lanckriet, KQ Weinberger
Advances in neural information processing systems, 2573-2581, 2012
1842012
Large Margin Gaussian Mixture Modeling for Phonetic Classification and Recognition.
F Sha, LK Saul
ICASSP (1), 265-268, 2006
1842006
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
1722016
Multiplicative updates for nonnegative quadratic programming
F Sha, Y Lin, LK Saul, DD Lee
Neural computation 19 (8), 2004-2031, 2007
1622007
Analysis and extension of spectral methods for nonlinear dimensionality reduction
F Sha, LK Saul
Proceedings of the 22nd international conference on Machine learning, 784-791, 2005
1432005
The system can't perform the operation now. Try again later.
Articles 1–20