Mikhail Belkin

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22EEMikhail Belkin, Jian Sun, Yusu Wang: Constructing Laplace operator from point clouds in Rd. SODA 2009: 1031-1040
21EETao Shi, Mikhail Belkin, Bin Yu: Data spectroscopy: learning mixture models using eigenspaces of convolution operators. ICML 2008: 936-943
20EELei Ding, Mikhail Belkin: Probabilistic mixtures of differential profiles for shape recognition. ICPR 2008: 1-4
19EELei Ding, Mikhail Belkin: Component based shape retrieval using differential profiles. Multimedia Information Retrieval 2008: 216-222
18EEMikhail Belkin, Jian Sun, Yusu Wang: Discrete laplace operator on meshed surfaces. Symposium on Computational Geometry 2008: 278-287
17EEMikhail Belkin, Partha Niyogi: Towards a theoretical foundation for Laplacian-based manifold methods. J. Comput. Syst. Sci. 74(8): 1289-1308 (2008)
16EEKaushik Sinha, Mikhail Belkin: The Value of Labeled and Unlabeled Examples when the Model is Imperfect. NIPS 2007
15EEMikhail Belkin, Hariharan Narayanan, Partha Niyogi: Heat Flow and a Faster Algorithm to Compute the Surface Area of a Convex Body. FOCS 2006: 47-56
14EEHariharan Narayanan, Mikhail Belkin, Partha Niyogi: On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts. NIPS 2006: 1025-1032
13EEMikhail Belkin, Partha Niyogi: Convergence of Laplacian Eigenmaps. NIPS 2006: 129-136
12EEMikhail Belkin, Partha Niyogi, Vikas Sindhwani: Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. Journal of Machine Learning Research 7: 2399-2434 (2006)
11EEMikhail Belkin, Partha Niyogi: Towards a Theoretical Foundation for Laplacian-Based Manifold Methods. COLT 2005: 486-500
10EEVikas Sindhwani, Partha Niyogi, Mikhail Belkin: Beyond the point cloud: from transductive to semi-supervised learning. ICML 2005: 824-831
9EEYasemin Altun, David A. McAllester, Mikhail Belkin: Margin Semi-Supervised Learning for Structured Variables. NIPS 2005
8EEUlrike von Luxburg, Olivier Bousquet, Mikhail Belkin: On the Convergence of Spectral Clustering on Random Samples: The Normalized Case. COLT 2004: 457-471
7EEMikhail Belkin, Irina Matveeva, Partha Niyogi: Regularization and Semi-supervised Learning on Large Graphs. COLT 2004: 624-638
6EEUlrike von Luxburg, Olivier Bousquet, Mikhail Belkin: Limits of Spectral Clustering. NIPS 2004
5EEMikhail Belkin, Partha Niyogi: Semi-Supervised Learning on Riemannian Manifolds. Machine Learning 56(1-3): 209-239 (2004)
4EEMikhail Belkin, Partha Niyogi: Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. Neural Computation 15(6): 1373-1396 (2003)
3EEMikhail Belkin, Partha Niyogi: Using Manifold Stucture for Partially Labeled Classification. NIPS 2002: 929-936
2EEMikhail Belkin, John A. Goldsmith: Using eigenvectors of the bigram graph to infer morpheme identity CoRR cs.CL/0207002: (2002)
1EEMikhail Belkin, Partha Niyogi: Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. NIPS 2001: 585-591

Coauthor Index

1Yasemin Altun [9]
2Olivier Bousquet [6] [8]
3Lei Ding [19] [20]
4John A. Goldsmith [2]
5Ulrike von Luxburg [6] [8]
6Irina Matveeva [7]
7David A. McAllester [9]
8Hariharan Narayanan [14] [15]
9Partha Niyogi [1] [3] [4] [5] [7] [10] [11] [12] [13] [14] [15] [17]
10Tao Shi [21]
11Vikas Sindhwani [10] [12]
12Kaushik Sinha [16]
13Jian Sun [18] [22]
14Yusu Wang [18] [22]
15Bin Yu [21]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)