Partha Niyogi

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32EEHariharan Narayanan, Partha Niyogi: Sampling Hypersurfaces through Diffusion. APPROX-RANDOM 2008: 535-548
31EEPartha 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)
30EEMikhail Belkin, Partha Niyogi: Towards a theoretical foundation for Laplacian-based manifold methods. J. Comput. Syst. Sci. 74(8): 1289-1308 (2008)
29EEHa Quang Minh, Partha Niyogi, Yuan Yao: Mercer's Theorem, Feature Maps, and Smoothing. COLT 2006: 154-168
28EEMikhail Belkin, Hariharan Narayanan, Partha Niyogi: Heat Flow and a Faster Algorithm to Compute the Surface Area of a Convex Body. FOCS 2006: 47-56
27EEHariharan Narayanan, Mikhail Belkin, Partha Niyogi: On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts. NIPS 2006: 1025-1032
26EEMikhail Belkin, Partha Niyogi: Convergence of Laplacian Eigenmaps. NIPS 2006: 129-136
25EESayan 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)
24EEMikhail 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)
23EEShivani Agarwal, Partha Niyogi: Stability and Generalization of Bipartite Ranking Algorithms. COLT 2005: 32-47
22EEMikhail Belkin, Partha Niyogi: Towards a Theoretical Foundation for Laplacian-Based Manifold Methods. COLT 2005: 486-500
21EEVikas Sindhwani, Partha Niyogi, Mikhail Belkin: Beyond the point cloud: from transductive to semi-supervised learning. ICML 2005: 824-831
20EEXiaofei He, Deng Cai, Partha Niyogi: Laplacian Score for Feature Selection. NIPS 2005
19EEXiaofei He, Deng Cai, Partha Niyogi: Tensor Subspace Analysis. NIPS 2005
18EEXiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, HongJiang Zhang: Face Recognition Using Laplacianfaces. IEEE Trans. Pattern Anal. Mach. Intell. 27(3): 328-340 (2005)
17EEMikhail Belkin, Irina Matveeva, Partha Niyogi: Regularization and Semi-supervised Learning on Large Graphs. COLT 2004: 624-638
16EENatalia Komarova, Partha Niyogi: Optimizing the mutual intelligibility of linguistic agents in a shared world. Artif. Intell. 154(1-2): 1-42 (2004)
15EEMikhail Belkin, Partha Niyogi: Semi-Supervised Learning on Riemannian Manifolds. Machine Learning 56(1-3): 209-239 (2004)
14EEXiaofei He, Partha Niyogi: Locality Preserving Projections. NIPS 2003
13EEDinoj Surendran, Partha Niyogi: Measuring the Functional Load of Phonological Contrasts CoRR cs.CL/0311036: (2003)
12EEMikhail Belkin, Partha Niyogi: Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. Neural Computation 15(6): 1373-1396 (2003)
11EEPartha Niyogi, Padma Ramesh: The voicing feature for stop consonants: recognition experiments with continuously spoken alphabets. Speech Communication 41(2-3): 349-367 (2003)
10EEMikhail 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
8EEMikhail Belkin, Partha Niyogi: Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. NIPS 2001: 585-591
7 Partha Niyogi, Narendra Karmarkar: An Approach to Data Reduction and Clustering with Theoretical Guarantees. ICML 2000: 679-686
6EEPartha Niyogi, Federico Girosi: Generalization bounds for function approximation from scattered noisy data. Adv. Comput. Math. 10(1): 51-80 (1999)
5EEPartha Niyogi, Kah Kay Sung: Epsilon focusing--A strategy for active example selection. Knowl.-Based Syst. 10(7): 441-447 (1998)
4 Partha Niyogi: Free to Choose: Investigating the Sample Complexity of Active Learning of Real Valued Functions. ICML 1995: 405-412
3EEPartha Niyogi, Robert C. Berwick: A Note on Zipf's Law, Natural Languages, and Noncoding DNA regions. CoRR cmp-lg/9503012: (1995)
2 Partha Niyogi, Robert C. Berwick: A Markov Language Learning Model for Finite Parameter Spaces. ACL 1994: 171-180
1EEKah Kay Sung, Partha Niyogi: Active Learning for Function Approximation. NIPS 1994: 593-600

Coauthor Index

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

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