The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

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]


Search in 0.024secs, Finished in 0.027secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002