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Jieping Ye: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu
    Efficient model selection for regularized linear discriminant analysis. [Citation Graph (0, 0)][DBLP]
    CIKM, 2006, pp:532-539 [Conf]
  2. Qi Li, Jieping Ye, Chandra Kambhamettu
    Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:474-481 [Conf]
  3. Tao Xiong, Jieping Ye, Vladimir Cherkassky
    Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2006, pp:125-131 [Conf]
  4. Qi Li, Jieping Ye, Chandra Kambhamettu
    Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:163-170 [Conf]
  5. Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park
    A new optimization criterion for generalized discriminant analysis on undersampled problems. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:419-426 [Conf]
  6. Jieping Ye
    Generalized low rank approximations of matrices. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  7. Jieping Ye, Tao Xiong
    Null space versus orthogonal linear discriminant analysis. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:1073-1080 [Conf]
  8. Jieping Ye, Ravi Janardan, Qi Li, Haesun Park
    Feature extraction via generalized uncorrelated linear discriminant analysis. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  9. Jieping Ye, Ravi Janardan, Songtao Liu
    Pairwise Protein Structure Alignment Based on an Orientation-Independent Representation of the Backbone Geometry. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2003, pp:2-8 [Conf]
  10. Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu
    Adaptive Appearance Based Face Recognition. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2006, pp:677-684 [Conf]
  11. Jieping Ye, Tie Wang
    Regularized discriminant analysis for high dimensional, low sample size data. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:454-463 [Conf]
  12. Jieping Ye, Ravi Janardan, Qi Li
    GPCA: an efficient dimension reduction scheme for image compression and retrieval. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:354-363 [Conf]
  13. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar
    IDR/QR: an incremental dimension reduction algorithm via QR decomposition. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:364-373 [Conf]
  14. Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky
    Efficient Kernel Discriminant Analysis via QR Decomposition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  15. Jieping Ye, Ravi Janardan, Qi Li
    Two-Dimensional Linear Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  16. Chris H. Q. Ding, Jieping Ye
    2-Dimensional Singular Value Decomposition for 2D Maps and Images. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  17. Jieping Ye, Tao Xiong, Ravi Janardan
    CPM: A Covariance-preserving Projection Method. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  18. Jieping Ye, Ivaylo Ilinkin, Ravi Janardan, Adam Isom
    Multiple Structure Alignment and Consensus Identification for Proteins. [Citation Graph (0, 0)][DBLP]
    WABI, 2006, pp:115-125 [Conf]
  19. Jieping Ye, Ravi Janardan, Songtao Liu
    Pairwise Protein Structure Alignment Based on an Orientation-independent Backbone Representation. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2004, v:2, n:4, pp:699-718 [Journal]
  20. Jieping Ye, Ravi Janardan
    Approximate Multiple Protein Structure Alignment Using the Sum-of-Pairs Distance. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2004, v:11, n:5, pp:986-1000 [Journal]
  21. Jieping Ye
    Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:483-502 [Journal]
  22. Jieping Ye, Tao Xiong
    Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1183-1204 [Journal]
  23. Jieping Ye
    Generalized Low Rank Approximations of Matrices. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:61, n:1-3, pp:167-191 [Journal]
  24. Qi Li, Jieping Ye, Chandra Kambhamettu
    Spatial interest pixels (SIPs): useful low-level features of visual media data. [Citation Graph (0, 0)][DBLP]
    Multimedia Tools Appl., 2006, v:30, n:1, pp:89-108 [Journal]
  25. Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park
    An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:8, pp:982-994 [Journal]
  26. Jieping Ye, Qi Li
    A Two-Stage Linear Discriminant Analysis via QR-Decomposition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:6, pp:929-941 [Journal]
  27. Jieping Ye, Qi Li
    LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:4, pp:851-854 [Journal]
  28. Jieping Ye, Tao Li, Tao Xiong, Ravi Janardan
    Using Uncorrelated Discriminant Analysis for Tissue Classification with Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2004, v:1, n:4, pp:181-190 [Journal]
  29. Jieping Ye, Ravi Janardan, Qi Li, Haesun Park
    Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:10, pp:1312-1322 [Journal]
  30. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar
    IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:9, pp:1208-1222 [Journal]
  31. Vineeth Nallure Balasubramanian, Jieping Ye, Sethuraman Panchanathan
    Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  32. Jieping Ye, Zheng Zhao, Huan Liu
    Adaptive Distance Metric Learning for Clustering. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  33. Jianhui Chen, Jieping Ye, Qi Li
    Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  34. Jieping Ye
    Least squares linear discriminant analysis. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1087-1093 [Conf]
  35. Jieping Ye, Jianhui Chen, Shuiwang Ji
    Discriminant kernel and regularization parameter learning via semidefinite programming. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1095-1102 [Conf]
  36. Jieping Ye, Shuiwang Ji, Jianhui Chen
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:854-863 [Conf]
  37. Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
    Nonlinear adaptive distance metric learning for clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:123-132 [Conf]
  38. Qi Li, Jieping Ye, Chandra Kambhamettu
    Interest point detection using imbalance oriented selection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2008, v:41, n:2, pp:672-688 [Journal]

  39. A unified framework for generalized Linear Discriminant Analysis. [Citation Graph (, )][DBLP]


  40. Training SVM with indefinite kernels. [Citation Graph (, )][DBLP]


  41. A least squares formulation for canonical correlation analysis. [Citation Graph (, )][DBLP]


  42. A least squares formulation for a class of generalized eigenvalue problems in machine learning. [Citation Graph (, )][DBLP]


  43. Non-monotonic feature selection. [Citation Graph (, )][DBLP]


  44. A convex formulation for learning shared structures from multiple tasks. [Citation Graph (, )][DBLP]


  45. Efficient Euclidean projections in linear time. [Citation Graph (, )][DBLP]


  46. Online learning by ellipsoid method. [Citation Graph (, )][DBLP]


  47. An accelerated gradient method for trace norm minimization. [Citation Graph (, )][DBLP]


  48. On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares. [Citation Graph (, )][DBLP]


  49. Multiclass Probabilistic Kernel Discriminant Analysis. [Citation Graph (, )][DBLP]


  50. DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. [Citation Graph (, )][DBLP]


  51. Linear Dimensionality Reduction for Multi-label Classification. [Citation Graph (, )][DBLP]


  52. Learning the Optimal Neighborhood Kernel for Classification. [Citation Graph (, )][DBLP]


  53. On Multiple Kernel Learning with Multiple Labels. [Citation Graph (, )][DBLP]


  54. Learning subspace kernels for classification. [Citation Graph (, )][DBLP]


  55. Extracting shared subspace for multi-label classification. [Citation Graph (, )][DBLP]


  56. Identifying biologically relevant genes via multiple heterogeneous data sources. [Citation Graph (, )][DBLP]


  57. Drosophila gene expression pattern annotation using sparse features and term-term interactions. [Citation Graph (, )][DBLP]


  58. Hypergraph spectral learning for multi-label classification. [Citation Graph (, )][DBLP]


  59. Heterogeneous data fusion for alzheimer's disease study. [Citation Graph (, )][DBLP]


  60. Large-scale sparse logistic regression. [Citation Graph (, )][DBLP]


  61. Mining discrete patterns via binary matrix factorization. [Citation Graph (, )][DBLP]


  62. Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. [Citation Graph (, )][DBLP]


  63. An efficient algorithm for a class of fused lasso problems. [Citation Graph (, )][DBLP]


  64. Learning incoherent sparse and low-rank patterns from multiple tasks. [Citation Graph (, )][DBLP]


  65. A scalable two-stage approach for a class of dimensionality reduction techniques. [Citation Graph (, )][DBLP]


  66. Discriminative K-means for Clustering. [Citation Graph (, )][DBLP]


  67. Multi-label Multiple Kernel Learning. [Citation Graph (, )][DBLP]


  68. Automated annotation of Drosophila gene expression patterns using a controlled vocabulary. [Citation Graph (, )][DBLP]


  69. Adaptive diffusion kernel learning from biological networks for protein function prediction. [Citation Graph (, )][DBLP]


  70. A bag-of-words approach for Drosophila gene expression pattern annotation. [Citation Graph (, )][DBLP]


  71. Multiple structure alignment and consensus identification for proteins. [Citation Graph (, )][DBLP]


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