P. Niyogi

Most-cited papers

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
Mikhail Belkin, P. Niyogi
2003Neural Computation8,709 citations
Semantic Scholar
Locality Preserving Projections
Xiao-Fei He, P. Niyogi
2003Neural Information Processing Systems4,742 citations
Semantic Scholar
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
Mikhail Belkin, P. Niyogi, Vikas Sindhwani
2006Journal of machine learning research4,353 citations
Semantic Scholar
Face recognition using Laplacianfaces
Xiao-Fei He, Shui-Cheng Yan, Yuxiao Hu, P. Niyogi +1 more
2005IEEE Transactions on Pattern Analysis and Machine Intelligence3,378 citations
Semantic Scholar
Laplacian Score for Feature Selection
Xiao-Fei He, Deng Cai, P. Niyogi
2005Neural Information Processing Systems2,332 citations
Semantic Scholar
Semi-Supervised Learning on Riemannian Manifolds
Mikhail Belkin, P. Niyogi
2004Machine-mediated learning897 citations Open access
Semantic Scholar
Finding the Homology of Submanifolds with High Confidence from Random Samples
P. Niyogi, S. Smale, S. Weinberger
2008Discrete & Computational Geometry774 citations Open access
Semantic Scholar
Towards a theoretical foundation for Laplacian-based manifold methods
Mikhail Belkin, P. Niyogi
2005Journal of computer and system sciences (Print)713 citations Open access
Semantic Scholar
Regularization and Semi-supervised Learning on Large Graphs
Mikhail Belkin, Irina Matveeva, P. Niyogi
2004Annual Conference Computational Learning Theory635 citations
Semantic Scholar
Beyond the point cloud: from transductive to semi-supervised learning
Vikas Sindhwani, P. Niyogi, Mikhail Belkin
2005International Conference on Machine Learning517 citations
Semantic Scholar
A Co-Regularization Approach to Semi-supervised Learning with Multiple Views
Vikas Sindhwani, P. Niyogi, Mikhail Belkin
2005449 citations
Semantic Scholar
Tensor Subspace Analysis
Xiao-Fei He, Deng Cai, P. Niyogi
2005Neural Information Processing Systems407 citations
Semantic Scholar
Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development
D. Oller, P. Niyogi, S. Gray, J. Richards +4 more
2010Proceedings of the National Academy of Sciences of the United States of America353 citations Open access
Semantic Scholar
Convergence of Laplacian Eigenmaps
Mikhail Belkin, P. Niyogi
2006Neural Information Processing Systems338 citations
Semantic Scholar
Manifold Regularization : A Geometric Framework for Learning from Examples
Mikhail Belkin, P. Niyogi, Vikas Sindhwani
2004332 citations
Semantic Scholar
General conditions for predictivity in learning theory
T. Poggio, R. Rifkin, Sayan Mukherjee, P. Niyogi
2004Nature308 citations
Semantic Scholar
Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization
S. Mukherjee, P. Niyogi, T. Poggio, R. Rifkin
2006Advances in Computational Mathematics242 citations
Semantic Scholar
Mercer's Theorem, Feature Maps, and Smoothing
H. Q. Minh, P. Niyogi, Y. Yao
2006Annual Conference Computational Learning Theory235 citations
Semantic Scholar
A Topological View of Unsupervised Learning from Noisy Data
P. Niyogi, S. Smale, S. Weinberger
2011SIAM journal on computing (Print)182 citations Open access
Semantic Scholar
Generalization Bounds for Ranking Algorithms via Algorithmic Stability
S. Agarwal, P. Niyogi
2009Journal of machine learning research159 citations
Semantic Scholar
Problems of learning on manifolds
P. Niyogi, Mikhail Belkin
2003153 citations
Semantic Scholar
Manifold regularization and semi-supervised learning: some theoretical analyses
P. Niyogi
2013Journal of machine learning research132 citations
Semantic Scholar
On Manifold Regularization
Mikhail Belkin, P. Niyogi, Vikas Sindhwani
2005International Conference on Artificial Intelligence and Statistics121 citations
Semantic Scholar
Feature selection in MLPs and SVMs based on maximum output information
Vikas Sindhwani, S. Rakshit, Dipti Deodhare, Deniz Erdoğmuş +2 more
2004IEEE Transactions on Neural Networks117 citations Open access
Semantic Scholar
Tikhonov regularization and semi-supervised learning on large graphs
Mikhail Belkin, Irina Matveeva, P. Niyogi
2004IEEE International Conference on Acoustics, Speech, and Signal Processing107 citations
Semantic Scholar
Stability and Generalization of Bipartite Ranking Algorithms
S. Agarwal, P. Niyogi
2005Annual Conference Computational Learning Theory90 citations
Semantic Scholar
Using Manifold Stucture for Partially Labeled Classification
Mikhail Belkin, P. Niyogi
2002Neural Information Processing Systems89 citations
Semantic Scholar
Quantifying the functional load of phonemic oppositions, distinctive features, and suprasegmentals
Dinoj Surendran, P. Niyogi
200688 citations
Semantic Scholar
Linear Manifold Regularization for Large Scale Semi-supervised Learning
Vikas Sindhwani, P. Niyogi, Mikhail Belkin
200582 citations
Semantic Scholar
Intrinsic Fourier Analysis on the Manifold of Speech Sounds
A. Jansen, P. Niyogi
20062006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings73 citations Open access
Semantic Scholar
Locality Preserving Projections (LPP)
Xiao-Fei He, P. Niyogi
200267 citations
Semantic Scholar
Point Process Models for Spotting Keywords in Continuous Speech
A. Jansen, P. Niyogi
2009IEEE Transactions on Audio, Speech, and Language Processing60 citations
Semantic Scholar
The proper treatment of language acquisition and change in a population setting
P. Niyogi, R. Berwick
2009Proceedings of the National Academy of Sciences of the United States of America58 citations Open access
Semantic Scholar
Optimizing the mutual intelligibility of linguistic agents in a shared world
N. Komarova, P. Niyogi
2004Artificial Intelligence50 citations Open access
Semantic Scholar
Robust acoustic-based syllable detection
Zhimin Xie, P. Niyogi
2006Interspeech43 citations
Semantic Scholar
Statistical Learning: Stability is Sufficient for Generalization and Necessary and Sufficient for Consistency of Empirical Risk Minimization
Sayan Mukherjee, P. Niyogi, T. Poggio, R. Rifkin
200242 citations
Semantic Scholar
The Geometric Basis of Semi-Supervised Learning
Vikas Sindhwani, Mikhail Belkin, P. Niyogi
2006Semi-Supervised Learning38 citations
Semantic Scholar
Appendix to: On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts
Hariharan Narayanan, P. Niyogi
200634 citations
Semantic Scholar
Laplacian Eigenfunctions Learn Population Structure
arthur jun Zhang, P. Niyogi, M. McPeek
2009PLoS ONE31 citations Open access
Semantic Scholar
The voicing feature for stop consonants: recognition experiments with continuously spoken alphabets
P. Niyogi, P. Ramesh
2003Speech Communication31 citations
Semantic Scholar
Measuring the Functional Load of Phonological Contrasts
Dinoj Surendran, P. Niyogi
2003arXiv.org31 citations
Semantic Scholar
On the Sample Complexity of Learning Smooth Cuts on a Manifold
Hariharan Narayanan, P. Niyogi
2009Annual Conference Computational Learning Theory28 citations
Semantic Scholar
A Geometric Perspective on Speech Sounds
A. Jansen, P. Niyogi
200527 citations
Semantic Scholar
Multiview point cloud kernels for semisupervised learning [Lecture Notes]
David S. Rosenberg, Vikas Sindhwani, P. Bartlett, P. Niyogi
2009IEEE Signal Processing Magazine26 citations Open access
Semantic Scholar
Intrinsic Spectral Analysis
A. Jansen, P. Niyogi
2013IEEE Transactions on Signal Processing24 citations
Semantic Scholar
Point process models for event-based speech recognition
A. Jansen, P. Niyogi
2009Speech Communication24 citations
Semantic Scholar
Modeling the temporal dynamics of distinctive feature landmark detectors for speech recognition.
A. Jansen, P. Niyogi
2008Journal of the Acoustical Society of America22 citations
Semantic Scholar
Measuring the Usefulness (Functional Load) of Phonological Contrasts
Dinoj Surendran, P. Niyogi
201621 citations
Semantic Scholar
A Kernel for Semi-Supervised Learning With MultiView Point Cloud Regularization
David S. Rosenberg, Vikas Sindhwani, P. Bartlett, P. Niyogi
200920 citations
Semantic Scholar
Dimensionality Reduction via Subspace and Submanifold Learning [From the Guest Editors]
Yi Ma, P. Niyogi, G. Sapiro, R. Vidal
2011IEEE Signal Processing Magazine18 citations
Semantic Scholar