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James Theiler: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. James Theiler, Neal R. Harvey, Nancy A. David, John M. Irvine
    Approach to Target Detection based on Relevant Metric for Scoring Performance. [Citation Graph (0, 0)][DBLP]
    AIPR, 2004, pp:184-189 [Conf]
  2. Neal R. Harvey, Simon Perkins, Steven P. Brumby, James Theiler, Reid B. Porter, A. Cody Young, Anil K. Varghese, John J. Szymanski, Jeffrey J. Bloch
    Finding Golf Courses: The Ultra High Tech Approach. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2000, pp:54-64 [Conf]
  3. Mike Estlick, Miriam Leeser, James Theiler, John J. Szymanski
    Algorithmic transformations in the implementation of K- means clustering on reconfigurable hardware. [Citation Graph (0, 0)][DBLP]
    FPGA, 2001, pp:103-110 [Conf]
  4. Karen Glocer, Damian Eads, James Theiler
    Online feature selection for pixel classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:249-256 [Conf]
  5. Simon Perkins, James Theiler
    Online Feature Selection using Grafting. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:592-599 [Conf]
  6. Reid B. Porter, Damian Eads, Don R. Hush, James Theiler
    Weighted Order Statistic Classifiers with Large Rank-Order Margin. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:600-607 [Conf]
  7. Junshui Ma, Simon Perkins, James Theiler, Stanley C. Ahalt
    Modified Kernel-based Nonlinear Feature Extraction. [Citation Graph (0, 0)][DBLP]
    ICMLA, 2002, pp:127-132 [Conf]
  8. Simon Perkins, Kevin Lacker, James Theiler
    Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1333-1356 [Journal]
  9. Garrett T. Kenyon, James Theiler, John S. George, Bryan J. Travis, David W. Marshak
    Correlated Firing Improves Stimulus Discrimination in a Retinal Model. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:11, pp:2261-2291 [Journal]
  10. Junshui Ma, James Theiler, Simon Perkins
    Accurate On-line Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:11, pp:2683-2703 [Journal]
  11. Garrett T. Kenyon, Dan Hill, James Theiler, John S. George, David W. Marshak
    A theory of the Benham Top based on center-surround interactions in the parvocellular pathway. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:5-6, pp:773-786 [Journal]
  12. Junshui Ma, James Theiler, Simon Perkins
    Two realizations of a general feature extraction framework. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:5, pp:875-887 [Journal]
  13. Maya Gokhale, Janette Frigo, Kevin McCabe, James Theiler, Christophe Wolinski, Dominique Lavenier
    Experience with a Hybrid Processor: K-Means Clustering. [Citation Graph (0, 0)][DBLP]
    The Journal of Supercomputing, 2003, v:26, n:2, pp:131-148 [Journal]
  14. D. Michael Cai, Maya Gokhale, James Theiler
    Comparison of feature selection and classification algorithms in identifying malicious executables. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2007, v:51, n:6, pp:3156-3172 [Journal]

  15. Detection of ephemeral changes in sequences of images. [Citation Graph (, )][DBLP]


  16. Ship detection in satellite imagery using rank-order grayscale hit-or-miss transforms. [Citation Graph (, )][DBLP]


  17. A change detection approach to moving object detection in low fame-rate video. [Citation Graph (, )][DBLP]


  18. A structural framework for anomalous change detection and characterization. [Citation Graph (, )][DBLP]


  19. Symmetrized local co-registration optimization for anomalous change detection. [Citation Graph (, )][DBLP]


  20. Uncorrelated versus independent elliptically-contoured distributions for anomalous change detection in hyperspectral imagery. [Citation Graph (, )][DBLP]


  21. Web-based design and evaluation of T-cell vaccine candidates. [Citation Graph (, )][DBLP]


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