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Partha Niyogi
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- affiliation: University of Chicago, IL, USA
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2010 – 2019
- 2013
- [j25]Partha Niyogi:
Manifold regularization and semi-supervised learning: some theoretical analyses. J. Mach. Learn. Res. 14(1): 1229-1250 (2013) - [j24]Mikhail Belkin, Hariharan Narayanan
, Partha Niyogi:
Heat flow and a faster algorithm to compute the surface area of a convex body. Random Struct. Algorithms 43(4): 407-428 (2013) - [j23]Aren Jansen, Partha Niyogi:
Intrinsic Spectral Analysis. IEEE Trans. Signal Process. 61(7): 1698-1710 (2013) - [i3]Samuel Kutin, Partha Niyogi:
Almost-everywhere algorithmic stability and generalization error. CoRR abs/1301.0579 (2013) - 2011
- [j22]Partha Niyogi, Stephen Smale, Shmuel Weinberger
A Topological View of Unsupervised Learning from Noisy Data. SIAM J. Comput. 40(3): 646-663 (2011) - [j21]Yi Ma, Partha Niyogi, Guillermo Sapiro, René Vidal:
Dimensionality Reduction via Subspace and Submanifold Learning [From the Guest Editors]. IEEE Signal Process. Mag. 28(2): 14-16 (2011) - 2010
- [c37]Morgan Sonderegger, Partha Niyogi:
Combining Data and Mathematical Models of Language Change. ACL 2010: 1019-1029 - [c36]Aren Jansen, Partha Niyogi:
Detection-based speech recognition with sparse point process models. ICASSP 2010: 4362-4365
2000 – 2009
- 2009
- [j20]Shivani Agarwal, Partha Niyogi:
Generalization Bounds for Ranking Algorithms via Algorithmic Stability. J. Mach. Learn. Res. 10: 441-474 (2009) - [j19]Aren Jansen, Partha Niyogi:
Point process models for event-based speech recognition. Speech Commun. 51(12): 1155-1168 (2009) - [j18]David S. Rosenberg, Vikas Sindhwani, Peter L. Bartlett
Multiview point cloud kernels for semisupervised learning [Lecture Notes]. IEEE Signal Process. Mag. 26(5): 145-150 (2009) - [j17]Aren Jansen, Partha Niyogi:
Point Process Models for Spotting Keywords in Continuous Speech. IEEE Trans. Speech Audio Process. 17(8): 1457-1470 (2009) - [c35]Hariharan Narayanan, Partha Niyogi:
On the Sample Complexity of Learning Smooth Cuts on a Manifold. COLT 2009 - [c34]Aren Jansen, Partha Niyogi:
Robust keyword spotting with rapidly adapting point process models. INTERSPEECH 2009: 2767-2770 - 2008
- [j16]Partha Niyogi, Stephen Smale, Shmuel Weinberger
Finding the Homology of Submanifolds with High Confidence from Random Samples. Discret. Comput. Geom. 39(1-3): 419-441 (2008) - [j15]Mikhail Belkin, Partha Niyogi:
Towards a theoretical foundation for Laplacian-based manifold methods. J. Comput. Syst. Sci. 74(8): 1289-1308 (2008) - [c33]Hariharan Narayanan
Sampling Hypersurfaces through Diffusion. APPROX-RANDOM 2008: 535-548 - [c32]Aren Jansen, Partha Niyogi:
A hierarchical point process model for speech recognition. ICASSP 2008: 4093-4096 - 2007
- [c31]Aren Jansen, Partha Niyogi:
Semi-supervised learning of speech sounds. INTERSPEECH 2007: 86-89 - 2006
- [j14]Sayan Mukherjee
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) - [j13]Mikhail Belkin, Partha Niyogi, Vikas Sindhwani:
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. J. Mach. Learn. Res. 7: 2399-2434 (2006) - [c30]Ha Quang Minh, Partha Niyogi, Yuan Yao:
Mercer's Theorem, Feature Maps, and Smoothing. COLT 2006: 154-168 - [c29]Mikhail Belkin, Hariharan Narayanan
Heat Flow and a Faster Algorithm to Compute the Surface Area of a Convex Body. FOCS 2006: 47-56 - [c28]Aren Jansen, Partha Niyogi:
Intrinsic Fourier Analysis on the Manifold of Speech Sounds. ICASSP (1) 2006: 241-244 - [c27]Zhimin Xie, Partha Niyogi:
Robust acoustic-based syllable detection. INTERSPEECH 2006 - [c26]Mikhail Belkin, Partha Niyogi:
Convergence of Laplacian Eigenmaps. NIPS 2006: 129-136 - [c25]Hariharan Narayanan, Mikhail Belkin, Partha Niyogi:
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts. NIPS 2006: 1025-1032 - [p1]Vikas Sindhwani, Misha Belkin, Partha Niyogi:
The Geometric Basis of Semi-Supervised Learning. Semi-Supervised Learning 2006: 217-235 - 2005
- [j12]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) - [c24]Misha Belkin, Partha Niyogi, Vikas Sindhwani:
On Manifold Regularization. AISTATS 2005: 17-24 - [c23]Shivani Agarwal, Partha Niyogi:
Stability and Generalization of Bipartite Ranking Algorithms. COLT 2005: 32-47 - [c22]Mikhail Belkin, Partha Niyogi:
Towards a Theoretical Foundation for Laplacian-Based Manifold Methods. COLT 2005: 486-500 - [c21]Vikas Sindhwani, Partha Niyogi, Mikhail Belkin:
Beyond the point cloud: from transductive to semi-supervised learning. ICML 2005: 824-831 - [c20]Xiaofei He, Deng Cai, Partha Niyogi:
Tensor Subspace Analysis. NIPS 2005: 499-506 - [c19]Xiaofei He, Deng Cai, Partha Niyogi:
Laplacian Score for Feature Selection. NIPS 2005: 507-514 - 2004
- [j11]Natalia L. Komarova, Partha Niyogi:
Optimizing the mutual intelligibility of linguistic agents in a shared world. Artif. Intell. 154(1-2): 1-42 (2004) - [j10]Mikhail Belkin, Partha Niyogi:
Semi-Supervised Learning on Riemannian Manifolds. Mach. Learn. 56(1-3): 209-239 (2004) - [j9]Vikas Sindhwani, Subrata Rakshit, Dipti Deodhare, Deniz Erdogmus, José Carlos Príncipe, Partha Niyogi:
Feature selection in MLPs and SVMs based on maximum output information. IEEE Trans. Neural Networks 15(4): 937-948 (2004) - [c18]Mikhail Belkin, Irina Matveeva, Partha Niyogi:
Regularization and Semi-supervised Learning on Large Graphs. COLT 2004: 624-638 - [c17]Mikhail Belkin, Irina Matveeva, Partha Niyogi:
Tikhonov regularization and semi-supervised learning on large graphs. ICASSP (3) 2004: 1000-1003 - 2003
- [j8]Mikhail Belkin, Partha Niyogi:
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. Neural Comput. 15(6): 1373-1396 (2003) - [j7]Partha Niyogi, Padma Ramesh:
The voicing feature for stop consonants: recognition experiments with continuously spoken alphabets. Speech Commun. 41(2-3): 349-367 (2003) - [c16]Xiaofei He, Partha Niyogi:
Locality Preserving Projections. NIPS 2003: 153-160 - [i2]Dinoj Surendran, Partha Niyogi:
Measuring the Functional Load of Phonological Contrasts. CoRR cs.CL/0311036 (2003) - 2002
- [c15]Mikhail Belkin, Partha Niyogi:
Using Manifold Stucture for Partially Labeled Classification. NIPS 2002: 929-936 - [c14]Samuel Kutin, Partha Niyogi:
Almost-everywhere Algorithmic Stability and Generalization Error. UAI 2002: 275-282 - 2001
- [c13]Mikhail Belkin, Partha Niyogi:
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. NIPS 2001: 585-591 - 2000
- [c12]Partha Niyogi, Jean-Benoît Pierrot, Olivier Siohan:
Multiple classifiers by constrained minimization. ICASSP 2000: 3462-3465 - [c11]Partha Niyogi, Narendra Karmarkar:
An Approach to Data Reduction and Clustering with Theoretical Guarantees. ICML 2000: 679-686 - [c10]Partha Niyogi:
Perspectives from the informational complexity of learning. ISCAS 2000: 259-262
1990 – 1999
- 1999
- [j6]Partha Niyogi, Federico Girosi
Generalization bounds for function approximation from scattered noisy data. Adv. Comput. Math. 10(1): 51-80 (1999) - [c9]Partha Niyogi, Eric Petajan, Jialin Zhong:
Feature based representation for audio-visual speech recognition. AVSP 1999: 16 - [c8]Partha Niyogi, Chris Burges, Padma Ramesh:
Distinctive feature detection using support vector machines. ICASSP 1999: 425-428 - 1998
- [b2]Partha Niyogi:
The informational complexity of learning - perspectives on neural networks and generative grammar. Kluwer 1998, ISBN 978-0-7923-8081-8, pp. I-XXI, 1-224 - [j5]Partha Niyogi, Kah Kay Sung:
Epsilon focusing--A strategy for active example selection. Knowl. Based Syst. 10(7): 441-447 (1998) - [j4]Partha Niyogi, Federico Girosi
Incorporating prior information in machine learning by creating virtual examples. Proc. IEEE 86(11): 2196-2209 (1998) - [c7]Partha Niyogi, Padma Ramesh:
Incorporating voice onset time to improve letter recognition accuracies. ICASSP 1998: 13-16 - [c6]Partha Niyogi, Partha Mitra, Man Mohan Sondhi:
A detection framework for locating phonetic events. ICSLP 1998 - [c5]Padma Ramesh, Partha Niyogi:
The voicing feature for stop consonants: acoustic phonetic analyses and automatic speech recognition experiments. ICSLP 1998 - 1997
- [j3]Partha Niyogi, Robert C. Berwick:
A Dynamical Systems Model for Language Change. Complex Syst. 11(3) (1997) - [j2]Bernhard Schölkopf, Kah Kay Sung, Christopher J. C. Burges, Federico Girosi
Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Trans. Signal Process. 45(11): 2758-2765 (1997) - 1996
- [j1]Partha Niyogi, Federico Girosi
On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions. Neural Comput. 8(4): 819-842 (1996) - 1995
- [b1]Partha Niyogi:
The informational complexity of learning from examples. Massachusetts Institute of Technology, Cambridge, MA, USA, 1995 - [c4]Partha Niyogi:
Free to Choose: Investigating the Sample Complexity of Active Learning of Real Valued Functions. ICML 1995: 405-412 - [i1]Partha Niyogi, Robert C. Berwick:
A Note on Zipf's Law, Natural Languages, and Noncoding DNA regions. CoRR cmp-lg/9503012 (1995) - 1994
- [c3]Partha Niyogi, Robert C. Berwick:
A Markov Language Learning Model for Finite Parameter Spaces. ACL 1994: 171-180 - [c2]Kah Kay Sung, Partha Niyogi:
Active Learning for Function Approximation. NIPS 1994: 593-600 - 1991
- [c1]Partha Niyogi, Victor W. Zue:
Correlation analysis of vowels and their application to speech recognition. EUROSPEECH 1991: 1253-1256
Coauthor Index
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