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Publications of Author

1. 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]
   
2. Mikhail Belkin, Partha Niyogi
   Towards a Theoretical Foundation for Laplacian-Based Manifold Methods. [Citation Graph (0, 0)][DBLP]
   COLT, 2005, pp:486-500 [Conf]
   
3. Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin
   On the Convergence of Spectral Clustering on Random Samples: The Normalized Case. [Citation Graph (0, 0)][DBLP]
   COLT, 2004, pp:457-471 [Conf]
   
4. 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]
   
5. 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]
   
6. Yasemin Altun, David A. McAllester, Mikhail Belkin
   Margin Semi-Supervised Learning for Structured Variables. [Citation Graph (0, 0)][DBLP]
   NIPS, 2005, pp:- [Conf]
   
7. Mikhail Belkin, Partha Niyogi
   Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. [Citation Graph (0, 0)][DBLP]
   NIPS, 2001, pp:585-591 [Conf]
   
8. Mikhail Belkin, Partha Niyogi
   Using Manifold Stucture for Partially Labeled Classification. [Citation Graph (0, 0)][DBLP]
   NIPS, 2002, pp:929-936 [Conf]
   
9. Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin
   Limits of Spectral Clustering. [Citation Graph (0, 0)][DBLP]
   NIPS, 2004, pp:- [Conf]
   
10. Mikhail Belkin, John A. Goldsmith
    Using eigenvectors of the bigram graph to infer morpheme identity [Citation Graph (0, 0)][DBLP]
    CoRR, 2002, v:0, n:, pp:- [Journal]
    
11. 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]
    
12. 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]
    
13. 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]
    
14. 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]
    
15. Mikhail Belkin, Partha Niyogi
    Convergence of Laplacian Eigenmaps. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:129-136 [Conf]
    
16. 
    Discrete laplace operator on meshed surfaces. [Citation Graph (, )][DBLP]
    
    
17. 
    Data spectroscopy: learning mixture models using eigenspaces of convolution operators. [Citation Graph (, )][DBLP]
    
    
18. 
    Probabilistic mixtures of differential profiles for shape recognition. [Citation Graph (, )][DBLP]
    
    
19. 
    Component based shape retrieval using differential profiles. [Citation Graph (, )][DBLP]
    
    
20. 
    The Value of Labeled and Unlabeled Examples when the Model is Imperfect. [Citation Graph (, )][DBLP]
    
    
21. 
    Constructing Laplace operator from point clouds in R^d. [Citation Graph (, )][DBLP]
    
    
22. 
    Learning Gaussian Mixtures with Arbitrary Separation [Citation Graph (, )][DBLP]
    
    
23. 
    Polynomial Learning of Distribution Families [Citation Graph (, )][DBLP]