Mikhail Belkin

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

Coauthor Index

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

Colors in the list of coauthors