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 |
0.669 |
|
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 |
0.755 |
|
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 |
0.652 |
|
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. |
0.488 |
|
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. |
0.496 |
|
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 |
0.685 |
|
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. |
0.582 |
|
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 |
0.711 |
|
2004 |
Belkin M, Niyogi P. Semi-supervised learning on riemannian manifolds Machine Learning. 56: 209-239. DOI: 10.1023/B:Mach.0000033120.25363.1E |
0.645 |
|
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. |
0.581 |
|
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. |
0.467 |
|
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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