Partha Niyogi - RankMe

68 papers A* 11A 5C 1Misc 5Journal 28Unranked 15

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