Partha Niyogi

	2009
33		Aren Jansen, Partha Niyogi: Point Process Models for Spotting Keywords in Continuous Speech. IEEE Transactions on Audio, Speech & Language Processing 17(8): 1457-1470 (2009)
	2008
32		Hariharan Narayanan, Partha Niyogi: Sampling Hypersurfaces through Diffusion. APPROX-RANDOM 2008: 535-548
31		Partha Niyogi, Stephen Smale, Shmuel Weinberger: Finding the Homology of Submanifolds with High Confidence from Random Samples. Discrete & Computational Geometry 39(1-3): 419-441 (2008)
30		Mikhail Belkin, Partha Niyogi: Towards a theoretical foundation for Laplacian-based manifold methods. J. Comput. Syst. Sci. 74(8): 1289-1308 (2008)
	2006
29		Ha Quang Minh, Partha Niyogi, Yuan Yao: Mercer's Theorem, Feature Maps, and Smoothing. COLT 2006: 154-168
28		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
27		Hariharan Narayanan, Mikhail Belkin, Partha Niyogi: On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts. NIPS 2006: 1025-1032
26		Mikhail Belkin, Partha Niyogi: Convergence of Laplacian Eigenmaps. NIPS 2006: 129-136
25		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. Adv. Comput. Math. 25(1-3): 161-193 (2006)
24		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
23		Shivani Agarwal, Partha Niyogi: Stability and Generalization of Bipartite Ranking Algorithms. COLT 2005: 32-47
22		Mikhail Belkin, Partha Niyogi: Towards a Theoretical Foundation for Laplacian-Based Manifold Methods. COLT 2005: 486-500
21		Vikas Sindhwani, Partha Niyogi, Mikhail Belkin: Beyond the point cloud: from transductive to semi-supervised learning. ICML 2005: 824-831
20		Xiaofei He, Deng Cai, Partha Niyogi: Laplacian Score for Feature Selection. NIPS 2005
19		Xiaofei He, Deng Cai, Partha Niyogi: Tensor Subspace Analysis. NIPS 2005
18		Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, HongJiang Zhang: Face Recognition Using Laplacianfaces. IEEE Trans. Pattern Anal. Mach. Intell. 27(3): 328-340 (2005)
	2004
17		Mikhail Belkin, Irina Matveeva, Partha Niyogi: Regularization and Semi-supervised Learning on Large Graphs. COLT 2004: 624-638
16		Natalia Komarova, Partha Niyogi: Optimizing the mutual intelligibility of linguistic agents in a shared world. Artif. Intell. 154(1-2): 1-42 (2004)
15		Mikhail Belkin, Partha Niyogi: Semi-Supervised Learning on Riemannian Manifolds. Machine Learning 56(1-3): 209-239 (2004)
	2003
14		Xiaofei He, Partha Niyogi: Locality Preserving Projections. NIPS 2003
13		Dinoj Surendran, Partha Niyogi: Measuring the Functional Load of Phonological Contrasts CoRR cs.CL/0311036: (2003)
12		Mikhail Belkin, Partha Niyogi: Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. Neural Computation 15(6): 1373-1396 (2003)
11		Partha Niyogi, Padma Ramesh: The voicing feature for stop consonants: recognition experiments with continuously spoken alphabets. Speech Communication 41(2-3): 349-367 (2003)
	2002
10		Mikhail Belkin, Partha Niyogi: Using Manifold Stucture for Partially Labeled Classification. NIPS 2002: 929-936
9		Samuel Kutin, Partha Niyogi: Almost-everywhere Algorithmic Stability and Generalization Error. UAI 2002: 275-282
	2001
8		Mikhail Belkin, Partha Niyogi: Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. NIPS 2001: 585-591
	2000
7		Partha Niyogi, Narendra Karmarkar: An Approach to Data Reduction and Clustering with Theoretical Guarantees. ICML 2000: 679-686
	1999
6		Partha Niyogi, Federico Girosi: Generalization bounds for function approximation from scattered noisy data. Adv. Comput. Math. 10(1): 51-80 (1999)
	1998
5		Partha Niyogi, Kah Kay Sung: Epsilon focusing--A strategy for active example selection. Knowl.-Based Syst. 10(7): 441-447 (1998)
	1995
4		Partha Niyogi: Free to Choose: Investigating the Sample Complexity of Active Learning of Real Valued Functions. ICML 1995: 405-412
3		Partha Niyogi, Robert C. Berwick: A Note on Zipf's Law, Natural Languages, and Noncoding DNA regions. CoRR cmp-lg/9503012: (1995)
	1994
2		Partha Niyogi, Robert C. Berwick: A Markov Language Learning Model for Finite Parameter Spaces. ACL 1994: 171-180
1		Kah Kay Sung, Partha Niyogi: Active Learning for Function Approximation. NIPS 1994: 593-600

Coauthor Index

1	Shivani Agarwal	[23]
2	Mikhail Belkin	[8] [10] [12] [15] [17] [21] [22] [24] [26] [27] [28] [30]
3	Robert C. Berwick	[2] [3]
4	Deng Cai	[19] [20]
5	Federico Girosi	[6]
6	Xiaofei He	[14] [18] [19] [20]
7	Yuxiao Hu	[18]
8	Aren Jansen	[33]
9	Narendra Karmarkar	[7]
10	Natalia Komarova	[16]
11	Samuel Kutin	[9]
12	Irina Matveeva	[17]
13	Ha Quang Minh	[29]
14	Sayan Mukherjee	[25]
15	Hariharan Narayanan	[27] [28] [32]
16	Tomaso Poggio	[25]
17	Padma Ramesh	[11]
18	Ryan M. Rifkin	[25]
19	Vikas Sindhwani	[21] [24]
20	Stephen Smale	[31]
21	Kah Kay Sung	[1] [5]
22	Dinoj Surendran	[13]
23	Shmuel Weinberger	[31]
24	Shuicheng Yan	[18]
25	Yuan Yao	[29]
26	HongJiang Zhang (Hong-Jiang Zhang)	[18]

Colors in the list of coauthors