Partha Niyogi - Publications

Affiliations: 
University of Chicago, Chicago, IL 
Area:
artificial intelligence, pattern recognition, machine learning, computational study of human speech and language
Website:
http://people.cs.uchicago.edu/%7Eniyogi/

46 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2014 Narayanan H, Niyogi P. Language evolution, coalescent processes, and the consensus problem on a social network Journal of Mathematical Psychology. 61: 19-24. DOI: 10.1016/J.Jmp.2014.07.002  0.602
2013 Jansen A, Niyogi P. Intrinsic spectral analysis Ieee Transactions On Signal Processing. 61: 1698-1710. DOI: 10.1109/Tsp.2013.2238931  0.613
2013 Belkin M, Narayanan H, Niyogi P. Heat flow and a faster algorithm to compute the surface area of a convex body Random Structures and Algorithms. 43: 407-428. DOI: 10.1002/Rsa.20513  0.67
2013 Niyogi P. Manifold regularization and semi-supervised learning: Some theoretical analyses Journal of Machine Learning Research. 14: 1229-1250.  0.3
2011 Niyogi P, Smale S, Weinberger S. A topological view of unsupervised learning from noisy data Siam Journal On Computing. 40: 646-663. DOI: 10.1137/090762932  0.449
2011 Ma Y, Niyogi P, Sapiro G, Vidal R. Dimensionality reduction via subspace and submanifold learning Ieee Signal Processing Magazine. 28: 14-15+126. DOI: 10.1109/Msp.2010.940005  0.362
2010 Jansen A, Niyogi P. Detection-based speech recognition with sparse point process models Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4362-4365. DOI: 10.1109/ICASSP.2010.5495636  0.534
2010 Jansen A, Mesgarani N, Niyogi P. Point process models of spectro-temporal modulation events for speech recognition Conference Record - Asilomar Conference On Signals, Systems and Computers. 104-108. DOI: 10.1109/ACSSC.2010.5757477  0.516
2009 Zhang J, Niyogi P, McPeek MS. Laplacian eigenfunctions learn population structure. Plos One. 4: e7928. PMID 19956572 DOI: 10.1371/Journal.Pone.0007928  0.324
2009 Niyogi P, Berwick RC. The proper treatment of language acquisition and change in a population setting. Proceedings of the National Academy of Sciences of the United States of America. 106: 10124-9. PMID 19497883 DOI: 10.1073/pnas.0903993106  0.345
2009 Jansen A, Niyogi P. Point process models for spotting keywords in continuous speech Ieee Transactions On Audio, Speech and Language Processing. 17: 1457-1470. DOI: 10.1109/Tasl.2009.2021307  0.593
2009 Rosenberg DS, Sindhwani V, Bartlett PL, Niyogi P. Multiview point cloud kernels for semisupervised learning [Lecture Notes] Ieee Signal Processing Magazine. 26: 145-148. DOI: 10.1109/Msp.2009.933383  0.756
2009 Jansen A, Niyogi P. Point process models for event-based speech recognition Speech Communication. 51: 1155-1168. DOI: 10.1016/J.Specom.2009.05.008  0.601
2008 Jansen A, Niyogi P. Modeling the temporal dynamics of distinctive feature landmark detectors for speech recognition. The Journal of the Acoustical Society of America. 124: 1739-58. PMID 19045664 DOI: 10.1121/1.2956472  0.596
2008 Jansen A, Niyogi P. Point process models of distinctive feature landmarks for speech recognition. The Journal of the Acoustical Society of America. 124: 2527-2527. DOI: 10.1121/1.4808978  0.6
2008 Jansen A, Niyogi P. A hierarchical point process model for speech recognition Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4093-4096. DOI: 10.1109/ICASSP.2008.4518554  0.533
2008 Belkin M, Niyogi P. Towards a theoretical foundation for Laplacian-based manifold methods Journal of Computer and System Sciences. 74: 1289-1308. DOI: 10.1016/J.Jcss.2007.08.006  0.653
2008 Niyogi P, Smale S, Weinberger S. Finding the homology of submanifolds with high confidence from random samples Discrete and Computational Geometry. 39: 419-441. DOI: 10.1007/S00454-008-9053-2  0.377
2007 Belkin M, Niyogi P. Convergence of Laplacian eigenmaps Advances in Neural Information Processing Systems. 129-136.  0.489
2007 Narayanan H, Belkin M, Niyogi P. On the relation between low density separation, spectral clustering and graph cuts Advances in Neural Information Processing Systems. 1025-1032.  0.497
2006 Mukherjee S, Niyogi P, Poggio T, Rifkin R. Learning theory: Stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization Advances in Computational Mathematics. 25: 161-193. DOI: 10.1007/s10444-004-7634-z  0.686
2006 Belkin M, Niyogi P, Sindhwani V. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples Journal of Machine Learning Research. 7: 2399-2434.  0.305
2005 Amit Y, Koloydenko A, Niyogi P. Robust acoustic object detection. The Journal of the Acoustical Society of America. 118: 2634-48. PMID 16266183 DOI: 10.1121/1.2011411  0.348
2005 He X, Yan S, Hu Y, Niyogi P, Zhang HJ. Face recognition using laplacianfaces. Ieee Transactions On Pattern Analysis and Machine Intelligence. 27: 328-40. PMID 15747789 DOI: 10.1109/Tpami.2005.55  0.478
2005 Sindhwani V, Niyogi P, Belkin M. Beyond the point cloud: From transductive to semi-supervised learning Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 825-832.  0.583
2004 Sindhwani V, Rakshit S, Deodhare D, Erdogmus D, Principe JC, Niyogi P. Feature selection in MLPs and SVMs based on maximum output information. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 937-48. PMID 15461085 DOI: 10.1109/Tnn.2004.828772  0.728
2004 Poggio T, Rifkin R, Mukherjee S, Niyogi P. General conditions for predictivity in learning theory. Nature. 428: 419-22. PMID 15042089 DOI: 10.1038/nature02341  0.712
2004 Belkin M, Niyogi P. Semi-supervised learning on riemannian manifolds Machine Learning. 56: 209-239. DOI: 10.1023/B:Mach.0000033120.25363.1E  0.646
2004 Komarova N, Niyogi P. Optimizing the mutual intelligibility of linguistic agents in a shared world Artificial Intelligence. 154: 1-42. DOI: 10.1016/J.Artint.2003.08.005  0.325
2004 Belkin M, Matveeva I, Niyogi P. Regularization and semi-supervised learning on large graphs Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3120: 624-638.  0.581
2004 Belkin M, Matveeva I, Niyogi P. Tikhonov regularization and semi-supervised learning on large graphs Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3: III1000-III1003.  0.582
2003 Belkin M, Niyogi P. Laplacian eigenmaps for dimensionality reduction and data representation Neural Computation. 15: 1373-1396. DOI: 10.1162/089976603321780317  0.633
2003 Niyogi P, Ramesh P. The voicing feature for stop consonants: Recognition experiments with continuously spoken alphabets Speech Communication. 41: 349-367. DOI: 10.1016/S0167-6393(02)00151-6  0.377
2002 Nowak MA, Komarova NL, Niyogi P. Computational and evolutionary aspects of language. Nature. 417: 611-7. PMID 12050656 DOI: 10.1038/Nature00771  0.355
2002 Niyogi P, Sondhi MM. Detecting stop consonants in continuous speech. The Journal of the Acoustical Society of America. 111: 1063-76. PMID 11863163 DOI: 10.1121/1.1427666  0.327
2002 Belkin M, Niyogi P. Laplacian eigenmaps and spectral techniques for embedding and clustering Advances in Neural Information Processing Systems 0.468
2001 Komarova NL, Niyogi P, Nowak MA. The evolutionary dynamics of grammar acquisition. Journal of Theoretical Biology. 209: 43-59. PMID 11237569 DOI: 10.1006/Jtbi.2000.2240  0.399
2001 Nowak MA, Komarova NL, Niyogi P. Evolution of universal grammar. Science (New York, N.Y.). 291: 114-8. PMID 11141560 DOI: 10.1126/Science.291.5501.114  0.371
2001 Niyogi P. A computational model for detecting and perceiving dynamic properities of speech Journal of the Acoustical Society of America. 109: 2311-2311. DOI: 10.1121/1.4744114  0.345
1998 Niyogi P, Berwick RC. The Logical Problem of Language Change: A Case Study of European Portuguese Syntax. 1: 192-205. DOI: 10.1111/1467-9612.00007  0.363
1998 Niyogi P, Girosi F, Poggio T. Incorporating prior information in machine learning by creating virtual examples Proceedings of the Ieee. 86: 2196-2208. DOI: 10.1109/5.726787  0.523
1998 Niyogi P, Sung K. Epsilon focusing—a strategy for active example selection Knowledge Based Systems. 10: 441-447. DOI: 10.1016/S0950-7051(98)00039-2  0.351
1997 Schölkopf B, Sung KK, Burges CJC, Girosi F, Niyogi P, Poggio T, Vapnik V. Comparing support vector machines with gaussian kernels to radial basis function classifiers Ieee Transactions On Signal Processing. 45: 2758-2765. DOI: 10.1109/78.650102  0.556
1997 Niyogi P, Berwick RC. Evolutionary consequences of language learning Linguistics and Philosophy. 20: 637-667. DOI: 10.1023/A:1005319718167  0.416
1996 Niyogi P, Berwick RC. A language learning model for finite parameter spaces. Cognition. 61: 161-93. PMID 8990971 DOI: 10.1016/S0010-0277(96)00718-4  0.399
1996 Niyogi P, Girosi F. On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions Neural Computation. 8: 819-842. DOI: 10.1162/Neco.1996.8.4.819  0.362
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