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Partha Niyogi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Partha Niyogi, Robert C. Berwick
    A Markov Language Learning Model for Finite Parameter Spaces. [Citation Graph (0, 0)][DBLP]
    ACL, 1994, pp:171-180 [Conf]
  2. Shivani Agarwal, Partha Niyogi
    Stability and Generalization of Bipartite Ranking Algorithms. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:32-47 [Conf]
  3. Mikhail Belkin, Irina Matveeva, Partha Niyogi
    Regularization and Semi-supervised Learning on Large Graphs. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:624-638 [Conf]
  4. Mikhail Belkin, Partha Niyogi
    Towards a Theoretical Foundation for Laplacian-Based Manifold Methods. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:486-500 [Conf]
  5. Ha Quang Minh, Partha Niyogi, Yuan Yao
    Mercer's Theorem, Feature Maps, and Smoothing. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:154-168 [Conf]
  6. Mikhail Belkin, Hariharan Narayanan, Partha Niyogi
    Heat Flow and a Faster Algorithm to Compute the Surface Area of a Convex Body. [Citation Graph (0, 0)][DBLP]
    FOCS, 2006, pp:47-56 [Conf]
  7. Partha Niyogi
    Free to Choose: Investigating the Sample Complexity of Active Learning of Real Valued Functions. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:405-412 [Conf]
  8. Partha Niyogi, Narendra Karmarkar
    An Approach to Data Reduction and Clustering with Theoretical Guarantees. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:679-686 [Conf]
  9. Vikas Sindhwani, Partha Niyogi, Mikhail Belkin
    Beyond the point cloud: from transductive to semi-supervised learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:824-831 [Conf]
  10. Xiaofei He, Partha Niyogi
    Locality Preserving Projections. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  11. Mikhail Belkin, Partha Niyogi
    Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:585-591 [Conf]
  12. Mikhail Belkin, Partha Niyogi
    Using Manifold Stucture for Partially Labeled Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:929-936 [Conf]
  13. Xiaofei He, Deng Cai, Partha Niyogi
    Laplacian Score for Feature Selection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  14. Xiaofei He, Deng Cai, Partha Niyogi
    Tensor Subspace Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  15. Kah Kay Sung, Partha Niyogi
    Active Learning for Function Approximation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:593-600 [Conf]
  16. Samuel Kutin, Partha Niyogi
    Almost-everywhere Algorithmic Stability and Generalization Error. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:275-282 [Conf]
  17. Sayan Mukherjee, Partha Niyogi, Tomaso Poggio, Ryan M. Rifkin
    Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization. [Citation Graph (0, 0)][DBLP]
    Adv. Comput. Math., 2006, v:25, n:1-3, pp:161-193 [Journal]
  18. Natalia Komarova, Partha Niyogi
    Optimizing the mutual intelligibility of linguistic agents in a shared world. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2004, v:154, n:1-2, pp:1-42 [Journal]
  19. Partha Niyogi, Robert C. Berwick
    A Note on Zipf's Law, Natural Languages, and Noncoding DNA regions. [Citation Graph (0, 0)][DBLP]
    CoRR, 1995, v:0, n:, pp:- [Journal]
  20. Dinoj Surendran, Partha Niyogi
    Measuring the Functional Load of Phonological Contrasts [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
  21. Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
    Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:2399-2434 [Journal]
  22. Partha Niyogi, Kah Kay Sung
    Epsilon focusing--A strategy for active example selection. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 1998, v:10, n:7, pp:441-447 [Journal]
  23. Mikhail Belkin, Partha Niyogi
    Semi-Supervised Learning on Riemannian Manifolds. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:56, n:1-3, pp:209-239 [Journal]
  24. Mikhail Belkin, Partha Niyogi
    Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:6, pp:1373-1396 [Journal]
  25. Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, HongJiang Zhang
    Face Recognition Using Laplacianfaces. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:3, pp:328-340 [Journal]
  26. Partha Niyogi, Padma Ramesh
    The voicing feature for stop consonants: recognition experiments with continuously spoken alphabets. [Citation Graph (0, 0)][DBLP]
    Speech Communication, 2003, v:41, n:2-3, pp:349-367 [Journal]
  27. Hariharan Narayanan, Mikhail Belkin, Partha Niyogi
    On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1025-1032 [Conf]
  28. Mikhail Belkin, Partha Niyogi
    Convergence of Laplacian Eigenmaps. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:129-136 [Conf]

  29. Sampling Hypersurfaces through Diffusion. [Citation Graph (, )][DBLP]


  30. A hierarchical point process model for speech recognition. [Citation Graph (, )][DBLP]


  31. Generalization bounds for function approximation from scattered noisy data. [Citation Graph (, )][DBLP]


  32. Finding the Homology of Submanifolds with High Confidence from Random Samples. [Citation Graph (, )][DBLP]


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