2008 | ||
---|---|---|
55 | EE | Shuiwang Ji, Jieping Ye: A unified framework for generalized Linear Discriminant Analysis. CVPR 2008 |
54 | EE | Liang Sun, Shuiwang Ji, Jieping Ye: A least squares formulation for canonical correlation analysis. ICML 2008: 1024-1031 |
53 | EE | Jianhui Chen, Jieping Ye: Training SVM with indefinite kernels. ICML 2008: 136-143 |
52 | EE | Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene Alexander, Eric Reiman: Heterogeneous data fusion for alzheimer's disease study. KDD 2008: 1025-1033 |
51 | EE | Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye: Learning subspace kernels for classification. KDD 2008: 106-114 |
50 | EE | Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye: Extracting shared subspace for multi-label classification. KDD 2008: 381-389 |
49 | EE | Liang Sun, Shuiwang Ji, Jieping Ye: Hypergraph spectral learning for multi-label classification. KDD 2008: 668-676 |
48 | EE | Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Yung Chang: Identifying biologically relevant genes via multiple heterogeneous data sources. KDD 2008: 839-847 |
47 | EE | Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye: Multi-label Multiple Kernel Learning. NIPS 2008: 777-784 |
46 | EE | Shuiwang Ji, Liang Sun, Rong Jin, Sudhir Kumar, Jieping Ye: Automated annotation of Drosophila gene expression patterns using a controlled vocabulary. Bioinformatics 24(17): 1881-1888 (2008) |
45 | EE | Shuiwang Ji, Jieping Ye: Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study. IEEE Trans. Knowl. Data Eng. 20(10): 1311-1321 (2008) |
44 | EE | Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu: Adaptive Appearance Based Face Recognition. International Journal on Artificial Intelligence Tools 17(1): 175-193 (2008) |
43 | EE | Qi Li, Chandra Kambhamettu, Jieping Ye: An evaluation of identity representability of facial expressions using feature distributions. Neurocomputing 71(10-12): 1902-1912 (2008) |
42 | EE | Qi Li, Jieping Ye, Chandra Kambhamettu: Interest point detection using imbalance oriented selection. Pattern Recognition 41(2): 672-688 (2008) |
41 | EE | Jieping Ye, Jianhui Chen, Ravi Janardan, Sudhir Kumar: Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA. TKDD 2(1): (2008) |
2007 | ||
40 | EE | Jieping Ye, Zheng Zhao, Huan Liu: Adaptive Distance Metric Learning for Clustering. CVPR 2007 |
39 | EE | Vineeth Nallure Balasubramanian, Jieping Ye, Sethuraman Panchanathan: Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation. CVPR 2007 |
38 | EE | Jianhui Chen, Jieping Ye, Qi Li: Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction. CVPR 2007 |
37 | EE | Jieping Ye: Least squares linear discriminant analysis. ICML 2007: 1087-1093 |
36 | EE | Jieping Ye, Jianhui Chen, Shuiwang Ji: Discriminant kernel and regularization parameter learning via semidefinite programming. ICML 2007: 1095-1102 |
35 | EE | Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu: Nonlinear adaptive distance metric learning for clustering. KDD 2007: 123-132 |
34 | EE | Jieping Ye, Shuiwang Ji, Jianhui Chen: Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming. KDD 2007: 854-863 |
33 | EE | Jieping Ye, Zheng Zhao, Mingrui Wu: Discriminative K-means for Clustering. NIPS 2007 |
2006 | ||
32 | EE | Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu: Efficient model selection for regularized linear discriminant analysis. CIKM 2006: 532-539 |
31 | EE | Tao Xiong, Jieping Ye, Vladimir Cherkassky: Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach. CVPR (1) 2006: 125-131 |
30 | EE | Jieping Ye, Tao Xiong: Null space versus orthogonal linear discriminant analysis. ICML 2006: 1073-1080 |
29 | EE | Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu: Adaptive Appearance Based Face Recognition. ICTAI 2006: 677-684 |
28 | EE | Jieping Ye, Tie Wang: Regularized discriminant analysis for high dimensional, low sample size data. KDD 2006: 454-463 |
27 | EE | Jieping Ye, Tao Xiong, Ravi Janardan: CPM: A Covariance-preserving Projection Method. SDM 2006 |
26 | EE | Jieping Ye, Ivaylo Ilinkin, Ravi Janardan, Adam Isom: Multiple Structure Alignment and Consensus Identification for Proteins. WABI 2006: 115-125 |
25 | EE | Jieping Ye, Ravi Janardan, Qi Li, Haesun Park: Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 18(10): 1312-1322 (2006) |
24 | EE | Jieping Ye, Tao Xiong: Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis. Journal of Machine Learning Research 7: 1183-1204 (2006) |
23 | EE | Qi Li, Jieping Ye, Chandra Kambhamettu: Spatial interest pixels (SIPs): useful low-level features of visual media data. Multimedia Tools Appl. 30(1): 89-108 (2006) |
2005 | ||
22 | Chris H. Q. Ding, Jieping Ye: 2-Dimensional Singular Value Decomposition for 2D Maps and Images. SDM 2005 | |
21 | EE | Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar: IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. IEEE Trans. Knowl. Data Eng. 17(9): 1208-1222 (2005) |
20 | EE | Jieping Ye, Qi Li: A Two-Stage Linear Discriminant Analysis via QR-Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 929-941 (2005) |
19 | EE | Jieping Ye: Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems. Journal of Machine Learning Research 6: 483-502 (2005) |
18 | EE | Jieping Ye: Generalized Low Rank Approximations of Matrices. Machine Learning 61(1-3): 167-191 (2005) |
2004 | ||
17 | EE | Qi Li, Jieping Ye, Chandra Kambhamettu: Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study. CVPR (2) 2004: 474-481 |
16 | EE | Jieping Ye, Ravi Janardan, Qi Li, Haesun Park: Feature extraction via generalized uncorrelated linear discriminant analysis. ICML 2004 |
15 | EE | Jieping Ye: Generalized low rank approximations of matrices. ICML 2004 |
14 | EE | Jieping Ye, Ravi Janardan, Qi Li: GPCA: an efficient dimension reduction scheme for image compression and retrieval. KDD 2004: 354-363 |
13 | EE | Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar: IDR/QR: an incremental dimension reduction algorithm via QR decomposition. KDD 2004: 364-373 |
12 | EE | Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky: Efficient Kernel Discriminant Analysis via QR Decomposition. NIPS 2004 |
11 | EE | Jieping Ye, Ravi Janardan, Qi Li: Two-Dimensional Linear Discriminant Analysis. NIPS 2004 |
10 | EE | Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park: An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 982-994 (2004) |
9 | EE | Jieping Ye, Tao Li, Tao Xiong, Ravi Janardan: Using Uncorrelated Discriminant Analysis for Tissue Classification with Gene Expression Data. IEEE/ACM Trans. Comput. Biology Bioinform. 1(4): 181-190 (2004) |
8 | EE | Jieping Ye, Ravi Janardan, Songtao Liu: Pairwise Protein Structure Alignment Based on an Orientation-independent Backbone Representation. J. Bioinformatics and Computational Biology 2(4): 699-718 (2004) |
7 | EE | Jieping Ye, Ravi Janardan: Approximate Multiple Protein Structure Alignment Using the Sum-of-Pairs Distance. Journal of Computational Biology 11(5): 986-1000 (2004) |
6 | EE | Jieping Ye, Qi Li: LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation. Pattern Recognition 37(4): 851-854 (2004) |
2003 | ||
5 | EE | Qi Li, Jieping Ye, Chandra Kambhamettu: Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data. ICDM 2003: 163-170 |
4 | EE | Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park: A new optimization criterion for generalized discriminant analysis on undersampled problems. ICDM 2003: 419-426 |
3 | EE | Jieping Ye, Ravi Janardan, Songtao Liu: Pairwise Protein Structure Alignment Based on an Orientation-Independent Representation of the Backbone Geometry. ICTAI 2003: 2-8 |
2000 | ||
2 | EE | Ruibin Qu, Jieping Ye: Approximation of minimum energy curves. Applied Mathematics and Computation 108(2-3): 153-166 (2000) |
1 | EE | Ruibin Qu, Jieping Ye: Efficient approximation of minimum energy curves with interpolatory constraints. Applied Mathematics and Computation 109(2-3): 151-166 (2000) |