Citation indices
 AllSince 2009
Citations53694623
h-index4036
i10-index10196
Citations to my articles
Citations to my articles
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Title / AuthorCited by Year
Two-dimensional linear discriminant analysis
J Ye, R Janardan, Q Li
Advances in Neural Information Processing Systems 17, 1569-1576
3642004
Generalized low rank approximations of matrices
J Ye
Machine Learning 61 (1-3), 167-191
2402005
An optimization criterion for generalized discriminant analysis on undersampled problems
J Ye, R Janardan, CH Park, H Park
Pattern Analysis and Machine Intelligence, IEEE Transactions on 26 (8), 982-994
2042004
Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems
J Ye
Journal of Machine Learning Research, 483-502
2032005
SLEP: Sparse learning with efficient projections
J Liu, S Ji, J Ye
Arizona State University 6
2012009
A two-stage linear discriminant analysis via QR-decomposition
J Ye, Q Li
Pattern Analysis and Machine Intelligence, IEEE Transactions on 27 (6), 929-941
1992005
Multi-task feature learning via efficient l 2, 1-norm minimization
J Liu, S Ji, J Ye
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial ...
1462009
An accelerated gradient method for trace norm minimization
S Ji, J Ye
Proceedings of the 26th Annual International Conference on Machine Learning ...
1372009
Tensor completion for estimating missing values in visual data
J Liu, P Musialski, P Wonka, J Ye
Pattern Analysis and Machine Intelligence, IEEE Transactions on 35 (1), 208-220
1282013
Using uncorrelated discriminant analysis for tissue classification with gene expression data
J Ye, T Li, T Xiong, R Janardan
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 1 ...
1202004
Computational and theoretical analysis of null space and orthogonal linear discriminant analysis
J Ye, T Xiong
The Journal of Machine Learning Research 7, 1183-1204
1122006
Biased manifold embedding: A framework for person-independent head pose estimation
VN Balasubramanian, J Ye, S Panchanathan
Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, 1-7
1072007
Least squares linear discriminant analysis
J Ye
Proceedings of the 24th international conference on Machine learning, 1087-1093
1062007
Feature reduction via generalized uncorrelated linear discriminant analysis
J Ye, R Janardan, Q Li, H Park
Knowledge and Data Engineering, IEEE Transactions on 18 (10), 1312-1322
942006
GPCA: an efficient dimension reduction scheme for image compression and retrieval
J Ye, R Janardan, Q Li
Proceedings of the tenth ACM SIGKDD international conference on Knowledge ...
892004
IDR/QR: An incremental dimension reduction algorithm via QR decomposition
J Ye, Q Li, H Xiong, H Park, R Janardan, V Kumar
Knowledge and Data Engineering, IEEE Transactions on 17 (9), 1208-1222
842005
A small sphere and large margin approach for novelty detection using training data with outliers
M Wu, J Ye
Pattern Analysis and Machine Intelligence, IEEE Transactions on 31 (11 ...
832009
Hypergraph spectral learning for multi-label classification
L Sun, S Ji, J Ye
Proceedings of the 14th ACM SIGKDD international conference on Knowledge ...
752008
Extracting shared subspace for multi-label classification
S Ji, L Tang, S Yu, J Ye
Proceedings of the 14th ACM SIGKDD international conference on Knowledge ...
742008
Learning brain connectivity of alzheimer's disease from neuroimaging data
S Huang, J Li, L Sun, J Liu, T Wu, K Chen, A Fleisher, E Reiman, J Ye
Advances in Neural Information Processing Systems, 808-816
732009
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