Partha Niyogi

According to our database, Partha Niyogi authored at least 65 papers between 1991 and 2013.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2013

Intrinsic Spectral Analysis.

Aren Jansen, Partha Niyogi

IEEE Trans. Signal Process., 2013

Heat flow and a faster algorithm to compute the surface area of a convex body.

Mikhail Belkin, Hariharan Narayanan, Partha Niyogi

Random Struct. Algorithms, 2013

Manifold regularization and semi-supervised learning: some theoretical analyses.

Partha Niyogi

J. Mach. Learn. Res., 2013

2011

Dimensionality Reduction via Subspace and Submanifold Learning [From the Guest Editors].

Yi Ma, Partha Niyogi, Guillermo Sapiro, René Vidal

IEEE Signal Process. Mag., 2011

A Topological View of Unsupervised Learning from Noisy Data.

Partha Niyogi, Stephen Smale, Shmuel Weinberger

SIAM J. Comput., 2011

2010

Detection-based speech recognition with sparse point process models.

Aren Jansen, Partha Niyogi

Proceedings of the IEEE International Conference on Acoustics, 2010

Combining Data and Mathematical Models of Language Change.

Morgan Sonderegger, Partha Niyogi

Proceedings of the ACL 2010, 2010

2009

Point Process Models for Spotting Keywords in Continuous Speech.

Aren Jansen, Partha Niyogi

IEEE Trans. Speech Audio Process., 2009

Multiview point cloud kernels for semisupervised learning [Lecture Notes].

David S. Rosenberg, Vikas Sindhwani, Peter L. Bartlett, Partha Niyogi

IEEE Signal Process. Mag., 2009

Point process models for event-based speech recognition.

Aren Jansen, Partha Niyogi

Speech Commun., 2009

Generalization Bounds for Ranking Algorithms via Algorithmic Stability.

Shivani Agarwal, Partha Niyogi

J. Mach. Learn. Res., 2009

Robust keyword spotting with rapidly adapting point process models.

Aren Jansen, Partha Niyogi

Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

On the Sample Complexity of Learning Smooth Cuts on a Manifold.

Hariharan Narayanan, Partha Niyogi

Proceedings of the COLT 2009, 2009

2008

Towards a theoretical foundation for Laplacian-based manifold methods.

Mikhail Belkin, Partha Niyogi

J. Comput. Syst. Sci., 2008

Finding the Homology of Submanifolds with High Confidence from Random Samples.

Partha Niyogi, Stephen Smale, Shmuel Weinberger

Discret. Comput. Geom., 2008

A hierarchical point process model for speech recognition.

Aren Jansen, Partha Niyogi

Proceedings of the IEEE International Conference on Acoustics, 2008

Sampling Hypersurfaces through Diffusion.

Hariharan Narayanan, Partha Niyogi

Proceedings of the Approximation, 2008

2007

Semi-supervised learning of speech sounds.

Aren Jansen, Partha Niyogi

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

2006

Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples.

Mikhail Belkin, Partha Niyogi, Vikas Sindhwani

J. Mach. Learn. Res., 2006

Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization.

Sayan Mukherjee, Partha Niyogi, Tomaso A. Poggio, Ryan M. Rifkin

Adv. Comput. Math., 2006

On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts.

Hariharan Narayanan, Mikhail Belkin, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Convergence of Laplacian Eigenmaps.

Mikhail Belkin, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Robust acoustic-based syllable detection.

Zhimin Xie, Partha Niyogi

Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Intrinsic Fourier Analysis on the Manifold of Speech Sounds.

Aren Jansen, Partha Niyogi

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Mercer's Theorem, Feature Maps, and Smoothing.

Ha Quang Minh, Partha Niyogi, Yuan Yao

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

The Geometric Basis of Semi-Supervised Learning.

Vikas Sindhwani, Misha Belkin, Partha Niyogi

Proceedings of the Semi-Supervised Learning, 2006

2005

Face Recognition Using Laplacianfaces.

Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, HongJiang Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Tensor Subspace Analysis.

Xiaofei He, Deng Cai, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Laplacian Score for Feature Selection.

Xiaofei He, Deng Cai, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Beyond the point cloud: from transductive to semi-supervised learning.

Vikas Sindhwani, Partha Niyogi, Mikhail Belkin

Proceedings of the Machine Learning, 2005

Stability and Generalization of Bipartite Ranking Algorithms.

Shivani Agarwal, Partha Niyogi

Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

On Manifold Regularization.

Misha Belkin, Partha Niyogi, Vikas Sindhwani

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Feature selection in MLPs and SVMs based on maximum output information.

Vikas Sindhwani, Subrata Rakshit, Dipti Deodhare, Deniz Erdogmus, José Carlos Príncipe, Partha Niyogi

IEEE Trans. Neural Networks, 2004

Semi-Supervised Learning on Riemannian Manifolds.

Mikhail Belkin, Partha Niyogi

Mach. Learn., 2004

Optimizing the mutual intelligibility of linguistic agents in a shared world.

Natalia L. Komarova, Partha Niyogi

Artif. Intell., 2004

Tikhonov regularization and semi-supervised learning on large graphs.

Mikhail Belkin, Irina Matveeva, Partha Niyogi

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Regularization and Semi-supervised Learning on Large Graphs.

Mikhail Belkin, Irina Matveeva, Partha Niyogi

Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

2003

The voicing feature for stop consonants: recognition experiments with continuously spoken alphabets.

Partha Niyogi, Padma Ramesh

Speech Commun., 2003

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation.

Mikhail Belkin, Partha Niyogi

Neural Comput., 2003

Measuring the Functional Load of Phonological Contrasts

Dinoj Surendran, Partha Niyogi

CoRR, 2003

Locality Preserving Projections.

Xiaofei He, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Almost-everywhere Algorithmic Stability and Generalization Error.

Samuel Kutin, Partha Niyogi

Proceedings of the UAI '02, 2002

Using Manifold Stucture for Partially Labeled Classification.

Mikhail Belkin, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering.

Mikhail Belkin, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Perspectives from the informational complexity of learning.

Partha Niyogi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

An Approach to Data Reduction and Clustering with Theoretical Guarantees.

Partha Niyogi, Narendra Karmarkar

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Multiple classifiers by constrained minimization.

Partha Niyogi, Jean-Benoît Pierrot, Olivier Siohan

Proceedings of the IEEE International Conference on Acoustics, 2000

1999

Generalization bounds for function approximation from scattered noisy data.

Partha Niyogi, Federico Girosi

Adv. Comput. Math., 1999

Distinctive feature detection using support vector machines.

Partha Niyogi, Chris Burges, Padma Ramesh

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Feature based representation for audio-visual speech recognition.

Partha Niyogi, Eric Petajan, Jialin Zhong

Proceedings of the Auditory-Visual Speech Processing, 1999

1998

Incorporating prior information in machine learning by creating virtual examples.

Partha Niyogi, Federico Girosi, Tomaso A. Poggio

Proc. IEEE, 1998

Epsilon focusing--A strategy for active example selection.

Partha Niyogi, Kah Kay Sung

Knowl. Based Syst., 1998

The voicing feature for stop consonants: acoustic phonetic analyses and automatic speech recognition experiments.

Padma Ramesh, Partha Niyogi

Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

A detection framework for locating phonetic events.

Partha Niyogi, Partha Mitra, Man Mohan Sondhi

Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

Incorporating voice onset time to improve letter recognition accuracies.

Partha Niyogi, Padma Ramesh

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

The informational complexity of learning - perspectives on neural networks and generative grammar.

Partha Niyogi

Kluwer, ISBN: 978-0-7923-8081-8, 1998

1997

Comparing support vector machines with Gaussian kernels to radial basis function classifiers.

Bernhard Schölkopf, Kah Kay Sung, Christopher J. C. Burges, Federico Girosi, Partha Niyogi, Tomaso A. Poggio, Vladimir Vapnik

IEEE Trans. Signal Process., 1997

A Dynamical Systems Model for Language Change.

Partha Niyogi, Robert C. Berwick

Complex Syst., 1997

1996

On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions.

Partha Niyogi, Federico Girosi

Neural Comput., 1996

1995

The informational complexity of learning from examples.

Partha Niyogi

PhD thesis, 1995

A Note on Zipf's Law, Natural Languages, and Noncoding DNA regions.

Partha Niyogi, Robert C. Berwick

CoRR, 1995

Free to Choose: Investigating the Sample Complexity of Active Learning of Real Valued Functions.

Partha Niyogi

Proceedings of the Machine Learning, 1995

1994

Active Learning for Function Approximation.

Kah Kay Sung, Partha Niyogi

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

A Markov Language Learning Model for Finite Parameter Spaces.

Partha Niyogi, Robert C. Berwick

Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics, 1994

1991

Correlation analysis of vowels and their application to speech recognition.

Partha Niyogi, Victor W. Zue

Proceedings of the Second European Conference on Speech Communication and Technology, 1991