Partha Niyogi

Publication Activity (10 Years)

Years Active: 1991-2013
Publications (10 Years): 0

Top Venues

CoRR

IEEE Trans. Signal Process.

J. Mach. Learn. Res.

Random Struct. Algorithms

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Partha Niyogi
Manifold regularization and semi-supervised learning: some theoretical analyses. J. Mach. Learn. Res. 14 (1) (2013)
Aren Jansen, Partha Niyogi
Intrinsic Spectral Analysis. IEEE Trans. Signal Process. 61 (7) (2013)
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) (2013)
Samuel Kutin, Partha Niyogi
Almost-everywhere algorithmic stability and generalization error CoRR (2013)
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) (2011)
Partha Niyogi, Stephen Smale, Shmuel Weinberger
A Topological View of Unsupervised Learning from Noisy Data. SIAM J. Comput. 40 (3) (2011)
Aren Jansen, Partha Niyogi
Detection-based speech recognition with sparse point process models. ICASSP (2010)
Morgan Sonderegger, Partha Niyogi
Combining Data and Mathematical Models of Language Change. ACL (2010)
Aren Jansen, Partha Niyogi
Robust keyword spotting with rapidly adapting point process models. INTERSPEECH (2009)
Aren Jansen, Partha Niyogi
Point Process Models for Spotting Keywords in Continuous Speech. IEEE Trans. Speech Audio Process. 17 (8) (2009)
Shivani Agarwal, Partha Niyogi
Generalization Bounds for Ranking Algorithms via Algorithmic Stability. J. Mach. Learn. Res. 10 (2009)
David S. Rosenberg, Vikas Sindhwani, Peter L. Bartlett, Partha Niyogi
Multiview point cloud kernels for semisupervised learning [Lecture Notes]. IEEE Signal Process. Mag. 26 (5) (2009)
Aren Jansen, Partha Niyogi
Point process models for event-based speech recognition. Speech Commun. 51 (12) (2009)
Hariharan Narayanan, Partha Niyogi
On the Sample Complexity of Learning Smooth Cuts on a Manifold. COLT (2009)
Mikhail Belkin, Partha Niyogi
Towards a theoretical foundation for Laplacian-based manifold methods. J. Comput. Syst. Sci. 74 (8) (2008)
Partha Niyogi, Stephen Smale, Shmuel Weinberger
Finding the Homology of Submanifolds with High Confidence from Random Samples. Discret. Comput. Geom. 39 (1-3) (2008)
Hariharan Narayanan, Partha Niyogi
Sampling Hypersurfaces through Diffusion. APPROX-RANDOM (2008)
Aren Jansen, Partha Niyogi
A hierarchical point process model for speech recognition. ICASSP (2008)
Aren Jansen, Partha Niyogi
Semi-supervised learning of speech sounds. INTERSPEECH (2007)
Sayan Mukherjee, Partha Niyogi, Tomaso A. Poggio, Ryan M. Rifkin
Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization. Adv. Comput. Math. 25 (1-3) (2006)
Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. J. Mach. Learn. Res. 7 (2006)
Ha Quang Minh, Partha Niyogi, Yuan Yao
Mercer's Theorem, Feature Maps, and Smoothing. COLT (2006)
Mikhail Belkin, Hariharan Narayanan, Partha Niyogi
Heat Flow and a Faster Algorithm to Compute the Surface Area of a Convex Body. FOCS (2006)
Mikhail Belkin, Partha Niyogi
Convergence of Laplacian Eigenmaps. NIPS (2006)
Aren Jansen, Partha Niyogi
Intrinsic Fourier Analysis on the Manifold of Speech Sounds. ICASSP (1) (2006)
Zhimin Xie, Partha Niyogi
Robust acoustic-based syllable detection. INTERSPEECH (2006)
Hariharan Narayanan, Mikhail Belkin, Partha Niyogi
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts. NIPS (2006)
Misha Belkin, Partha Niyogi, Vikas Sindhwani
On Manifold Regularization. AISTATS (2005)
Shivani Agarwal, Partha Niyogi
Stability and Generalization of Bipartite Ranking Algorithms. COLT (2005)
Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, HongJiang Zhang
Face Recognition Using Laplacianfaces. IEEE Trans. Pattern Anal. Mach. Intell. 27 (3) (2005)
Xiaofei He, Deng Cai, Partha Niyogi
Tensor Subspace Analysis. NIPS (2005)
Xiaofei He, Deng Cai, Partha Niyogi
Laplacian Score for Feature Selection. NIPS (2005)
Mikhail Belkin, Partha Niyogi
Towards a Theoretical Foundation for Laplacian-Based Manifold Methods. COLT (2005)
Vikas Sindhwani, Partha Niyogi, Mikhail Belkin
Beyond the point cloud: from transductive to semi-supervised learning. ICML (2005)
Mikhail Belkin, Partha Niyogi
Semi-Supervised Learning on Riemannian Manifolds. Mach. Learn. 56 (1-3) (2004)
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) (2004)
Mikhail Belkin, Irina Matveeva, Partha Niyogi
Tikhonov regularization and semi-supervised learning on large graphs. ICASSP (3) (2004)
Mikhail Belkin, Irina Matveeva, Partha Niyogi
Regularization and Semi-supervised Learning on Large Graphs. COLT (2004)
Natalia L. Komarova, Partha Niyogi
Optimizing the mutual intelligibility of linguistic agents in a shared world. Artif. Intell. 154 (1-2) (2004)
Xiaofei He, Partha Niyogi
Locality Preserving Projections. NIPS (2003)
Mikhail Belkin, Partha Niyogi
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. Neural Comput. 15 (6) (2003)
Dinoj Surendran, Partha Niyogi
Measuring the Functional Load of Phonological Contrasts CoRR (2003)
Partha Niyogi, Padma Ramesh
The voicing feature for stop consonants: recognition experiments with continuously spoken alphabets. Speech Commun. 41 (2-3) (2003)
Mikhail Belkin, Partha Niyogi
Using Manifold Stucture for Partially Labeled Classification. NIPS (2002)
Samuel Kutin, Partha Niyogi
Almost-everywhere Algorithmic Stability and Generalization Error. UAI (2002)
Mikhail Belkin, Partha Niyogi
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. NIPS (2001)
Partha Niyogi, Narendra Karmarkar
An Approach to Data Reduction and Clustering with Theoretical Guarantees. ICML (2000)
Partha Niyogi, Jean-Benoit Pierrot, Olivier Siohan
Multiple classifiers by constrained minimization. ICASSP (2000)
Partha Niyogi
Perspectives from the informational complexity of learning. ISCAS (2000)
Partha Niyogi, Chris Burges, Padma Ramesh
Distinctive feature detection using support vector machines. ICASSP (1999)
Partha Niyogi, Eric Petajan, Jialin Zhong
Feature based representation for audio-visual speech recognition. AVSP (1999)
Partha Niyogi, Federico Girosi
Generalization bounds for function approximation from scattered noisy data. Adv. Comput. Math. 10 (1) (1999)
Partha Niyogi, Federico Girosi, Tomaso A. Poggio
Incorporating prior information in machine learning by creating virtual examples. Proc. IEEE 86 (11) (1998)
Partha Niyogi, Kah Kay Sung
Epsilon focusing--A strategy for active example selection. Knowl. Based Syst. 10 (7) (1998)
Partha Niyogi, Partha Mitra, Man Mohan Sondhi
A detection framework for locating phonetic events. ICSLP (1998)
Padma Ramesh, Partha Niyogi
The voicing feature for stop consonants: acoustic phonetic analyses and automatic speech recognition experiments. ICSLP (1998)
Partha Niyogi, Padma Ramesh
Incorporating voice onset time to improve letter recognition accuracies. ICASSP (1998)
Partha Niyogi, Robert C. Berwick
A Dynamical Systems Model for Language Change. Complex Syst. 11 (3) (1997)
Bernhard Schölkopf, Kah Kay Sung, Christopher J. C. Burges, Federico Girosi, Partha Niyogi, Tomaso A. Poggio, Vladimir Vapnik
Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Trans. Signal Process. 45 (11) (1997)
Partha Niyogi, Federico Girosi
On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions. Neural Comput. 8 (4) (1996)
Partha Niyogi, Robert C. Berwick
A Note on Zipf's Law, Natural Languages, and Noncoding DNA regions. CoRR (1995)
Partha Niyogi
Free to Choose: Investigating the Sample Complexity of Active Learning of Real Valued Functions. ICML (1995)
Partha Niyogi, Robert C. Berwick
A Markov Language Learning Model for Finite Parameter Spaces. ACL (1994)
Kah Kay Sung, Partha Niyogi
Active Learning for Function Approximation. NIPS (1994)
Partha Niyogi, Victor W. Zue
Correlation analysis of vowels and their application to speech recognition. EUROSPEECH (1991)

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Publication Activity (10 Years)

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Partha Niyogi