متابعة
Fei Sha
Fei Sha
Google Research
بريد إلكتروني تم التحقق منه على feisha.org - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
29422012
Shallow parsing with conditional random fields‏
F Sha, F Pereira‏
Proceedings of the 2003 human language technology conference of the North …, 2003‏
19692003
Marginalized denoising auto-encoders for nonlinear representations‏
M Chen, K Weinberger, F Sha, Y Bengio‏
International conference on machine learning, 1476-1484, 2014‏
11132014
Actor-attention-critic for multi-agent reinforcement learning‏
S Iqbal, F Sha‏
International conference on machine learning, 2961-2970, 2019‏
9662019
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
9472016
Video summarization with long short-term memory‏
K Zhang, WL Chao, F Sha, K Grauman‏
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016‏
8962016
Few-shot learning via embedding adaptation with set-to-set functions‏
HJ Ye, H Hu, DC Zhan, F Sha‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020‏
8922020
An empirical study and analysis of generalized zero-shot learning for object recognition in the wild‏
WL Chao, S Changpinyo, B Gong, F Sha‏
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016‏
7042016
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
6982004
Diverse sequential subset selection for supervised video summarization‏
B Gong, WL Chao, K Grauman, F Sha‏
Advances in neural information processing systems 27, 2014‏
5562014
DiscLDA: Discriminative learning for dimensionality reduction and classification‏
S Lacoste-Julien, F Sha, M Jordan‏
Advances in neural information processing systems 21, 2008‏
5522008
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
5062013
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
4862007
Learning with whom to share in multi-task feature learning‏
Z Kang, K Grauman, F Sha‏
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011‏
4672011
Multiplicative updates for nonnegative quadratic programming in support vector machines‏
F Sha, L Saul, D Lee‏
Advances in neural information processing systems 15, 2002‏
3952002
Spectral methods for dimensionality reduction‏
LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee‏
3652006
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
2932013
Information-theoretical learning of discriminative clusters for unsupervised domain adaptation‏
Y Shi, F Sha‏
arXiv preprint arXiv:1206.6438, 2012‏
2842012
Non-linear metric learning‏
D Kedem, S Tyree, F Sha, G Lanckriet, KQ Weinberger‏
Advances in neural information processing systems 25, 2012‏
2782012
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
2702016
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مقالات 1–20