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Clayton Scott: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Clayton Scott, Robert Nowak
    Pattern Extraction and Synthesis Using a Hierarchical Wavelet-Based Framework. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  2. Clayton Scott, Robert Nowak
    Dyadic Classification Trees via Structural Risk Minimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:359-366 [Conf]
  3. Clayton Scott, Robert Nowak
    Near-Minimax Optimal Classification with Dyadic Classification Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  4. Clayton Scott, Robert Nowak
    On the Adaptive Properties of Decision Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  5. Clayton Scott, Robert D. Nowak
    Learning Minimum Volume Sets. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  6. Clayton Scott, Robert D. Nowak
    A Novel Hierarchical Wavelet-Based Framework for Pattern Analysis and Synthesis. [Citation Graph (0, 0)][DBLP]
    SSIAI, 2000, pp:242-246 [Conf]
  7. Clayton Scott, Robert D. Nowak
    Learning Minimum Volume Sets. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:665-704 [Journal]
  8. Clayton Scott, Robert D. Nowak
    Robust Contour Matching Via the Order-Preserving Assignment Problem. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:7, pp:1831-1838 [Journal]
  9. Clayton Scott, Robert D. Nowak
    A Neyman-Pearson approach to statistical learning. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2005, v:51, n:11, pp:3806-3819 [Journal]
  10. Clayton Scott, Robert D. Nowak
    Minimax-optimal classification with dyadic decision trees. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2006, v:52, n:4, pp:1335-1353 [Journal]

  11. Adaptive Hausdorff Estimation of Density Level Sets. [Citation Graph (, )][DBLP]


  12. Distributed Spatial Anomaly Detection. [Citation Graph (, )][DBLP]


  13. Performance analysis for L_2 kernel classification. [Citation Graph (, )][DBLP]


  14. Learning to satisfy. [Citation Graph (, )][DBLP]


  15. Nested support vector machines. [Citation Graph (, )][DBLP]


  16. Robust kernel density estimation. [Citation Graph (, )][DBLP]


  17. Group-based Query Learning for rapid diagnosis in time-critical situations [Citation Graph (, )][DBLP]


  18. Query Learning with Exponential Query Costs [Citation Graph (, )][DBLP]


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