The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
Eric P. Xing: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bing Zhao, Eric P. Xing
    BiTAM: Bilingual Topic AdMixture Models for Word Alignment. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  2. Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp
    LOGOS: a modular Bayesian model for de novo motif detection. [Citation Graph (0, 0)][DBLP]
    CSB, 2003, pp:266-276 [Conf]
  3. Yan Liu, Eric P. Xing, Jaime G. Carbonell
    Predicting protein folds with structural repeats using a chain graph model. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:513-520 [Conf]
  4. Eric P. Xing, Michael I. Jordan, Richard M. Karp
    Feature selection for high-dimensional genomic microarray data. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:601-608 [Conf]
  5. Eric P. Xing, Roded Sharan, Michael I. Jordan
    Bayesian haplo-type inference via the dirichlet process. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  6. Eric P. Xing, Kyung-Ah Sohn, Michael I. Jordan, Yee Whye Teh
    Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:1049-1056 [Conf]
  7. Tien-ho Lin, Eugene W. Myers, Eric P. Xing
    Interpreting anonymous DNA samples from mass disasters - probabilistic forensic inference using genetic markers. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:298-306 [Conf]
  8. Eric P. Xing, Richard M. Karp
    CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2001, pp:306-315 [Conf]
  9. Jia-Yu Pan, André Guilherme, Ribeiro Balan, Eric P. Xing, Agma J. M. Traina, Christos Faloutsos
    Automatic mining of fruit fly embryo images. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:693-698 [Conf]
  10. Fan Li, Yiming Yang, Eric Xing
    From Lasso regression to Feature vector machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  11. Eric P. Xing, Michael I. Jordan, Richard M. Karp, Stuart J. Russell
    A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1489-1496 [Conf]
  12. Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, Stuart J. Russell
    Distance Metric Learning with Application to Clustering with Side-Information. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:505-512 [Conf]
  13. Hetunandan Kamisetty, Eric P. Xing, Christopher James Langmead
    Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2007, pp:366-380 [Conf]
  14. Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing
    GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2007, pp:151-165 [Conf]
  15. Eric P. Xing, Michael I. Jordan, Stuart J. Russell
    A generalized mean field algorithm for variational inference in exponential families. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:583-591 [Conf]
  16. Wei Wu, Nilesh Dave, George C. Tseng, Thomas Richards, Eric P. Xing, Naftali Kaminski
    Comparison of normalization methods for CodeLink Bioarray data. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:309- [Journal]
  17. Wei Wu, Eric P. Xing, Connie Myers, I. Saira Mian, Mina J. Bissell
    Evaluation of normalization methods for cDNA microarray data by k-NN classification. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:191- [Journal]
  18. Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp
    Logos: a Modular Bayesian Model for de Novo Motif Detection. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2004, v:2, n:1, pp:127-154 [Journal]
  19. Lie Gu, Eric P. Xing, Takeo Kanade
    Learning GMRF Structures for Spatial Priors. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  20. Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing
    Recovering temporally rewiring networks: a model-based approach. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:321-328 [Conf]
  21. Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos
    Enhanced max margin learning on multimodal data mining in a multimedia database. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:340-349 [Conf]
  22. Kyung-Ah Sohn, Eric P. Xing
    Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1305-1312 [Conf]
  23. Jun Yang, Yan Liu, Eric P. Xing, Alexander G. Hauptmann
    Harmonium Models for Semantic Video Representation and Classification. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  24. Eric P. Xing, Rong Yan, Alexander G. Hauptmann
    Mining Associated Text and Images with Dual-Wing Harmoniums. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:633-641 [Conf]
  25. Eric P. Xing, Michael I. Jordan
    Graph Partition Strategies for Generalized Mean Field Inference. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:602-610 [Conf]

  26. Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks. [Citation Graph (, )][DBLP]


  27. Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. [Citation Graph (, )][DBLP]


  28. A Max Margin Framework on Image Annotation and Multimodal Image Retrieval. [Citation Graph (, )][DBLP]


  29. Nonextensive entropic kernels. [Citation Graph (, )][DBLP]


  30. Laplace maximum margin Markov networks. [Citation Graph (, )][DBLP]


  31. mStruct: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations. [Citation Graph (, )][DBLP]


  32. On primal and dual sparsity of Markov networks. [Citation Graph (, )][DBLP]


  33. Dynamic mixed membership blockmodel for evolving networks. [Citation Graph (, )][DBLP]


  34. MedLDA: maximum margin supervised topic models for regression and classification. [Citation Graph (, )][DBLP]


  35. Polyhedral outer approximations with application to natural language parsing. [Citation Graph (, )][DBLP]


  36. Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity. [Citation Graph (, )][DBLP]


  37. Conditional Topic Random Fields. [Citation Graph (, )][DBLP]


  38. On Sparse Nonparametric Conditional Covariance Selection. [Citation Graph (, )][DBLP]


  39. Probabilistic Graphical Models-Theory, Algorithm, and Application. [Citation Graph (, )][DBLP]


  40. Spectrum: joint bayesian inference of population structure and recombination events. [Citation Graph (, )][DBLP]


  41. Joint latent topic models for text and citations. [Citation Graph (, )][DBLP]


  42. Structured correspondence topic models for mining captioned figures in biological literature. [Citation Graph (, )][DBLP]


  43. Primal sparse Max-margin Markov networks. [Citation Graph (, )][DBLP]


  44. Grafting-light: fast, incremental feature selection and structure learning of Markov random fields. [Citation Graph (, )][DBLP]


  45. HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation. [Citation Graph (, )][DBLP]


  46. Partially Observed Maximum Entropy Discrimination Markov Networks. [Citation Graph (, )][DBLP]


  47. Mixed Membership Stochastic Blockmodels. [Citation Graph (, )][DBLP]


  48. A Joint Topic and Perspective Model for Ideological Discourse. [Citation Graph (, )][DBLP]


  49. BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes. [Citation Graph (, )][DBLP]


  50. Semi-Supervised Learning Based on Semiparametric Regularization. [Citation Graph (, )][DBLP]


  51. Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering. [Citation Graph (, )][DBLP]


  52. Feature Selection via Block-Regularized Regression. [Citation Graph (, )][DBLP]


  53. Feature selection for grasp recognition from optical markers. [Citation Graph (, )][DBLP]


  54. Stacking Dependency Parsers. [Citation Graph (, )][DBLP]


  55. A multivariate regression approach to association analysis of a quantitative trait network. [Citation Graph (, )][DBLP]


  56. DISCOVER: a feature-based discriminative method for motif search in complex genomes. [Citation Graph (, )][DBLP]


  57. KELLER: estimating time-varying interactions between genes. [Citation Graph (, )][DBLP]


  58. SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images. [Citation Graph (, )][DBLP]


  59. Multi-population GWA mapping via multi-task regularized regression. [Citation Graph (, )][DBLP]


  60. Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso [Citation Graph (, )][DBLP]


  61. An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity [Citation Graph (, )][DBLP]


Search in 0.003secs, Finished in 0.308secs
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
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002