Search results for "S. V. N. Vishwanathan"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Hyokun Yun, S. V. N. Vishwanathan	Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Hyokun Yun, S. V. N. Vishwanathan	Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process	CoRR	2012	DBLP BibTeX RDF
1	Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan	Smoothing Multivariate Performance Measures	CoRR	2012	DBLP BibTeX RDF
1	Amr Ahmed, Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smola	Fair and balanced: learning to present news stories.	WSDM	2012	DBLP DOI BibTeX RDF
1	S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel	Introduction to the special issue on mining and learning with graphs.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Hyokun Yun, S. V. N. Vishwanathan	Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs	CoRR	2011	DBLP BibTeX RDF
1	William Benjamin, Andrew Wood Polk, S. V. N. Vishwanathan, Karthik Ramani	Heat Walk: Robust Salient Segmentation of Non-rigid Shapes.	Comput. Graph. Forum	2011	DBLP DOI BibTeX RDF
1	Ankan Saha, S. V. N. Vishwanathan, Xinhua Zhang	New Approximation Algorithms for Minimum Enclosing Convex Shapes.	SODA	2011	DBLP BibTeX RDF
1	Yi Fang, Mengtian Sun, S. V. N. Vishwanathan, Karthik Ramani	sLLE: Spherical locally linear embedding with applications to tomography.	CVPR	2011	DBLP DOI BibTeX RDF
1	Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan	Accelerated Training of Max-Margin Markov Networks with Kernels.	ALT	2011	DBLP DOI BibTeX RDF
1	Nan Ding, S. V. N. Vishwanathan, Yuan (Alan) Qi	t-divergence Based Approximate Inference.	NIPS	2011	DBLP BibTeX RDF
1	Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smola, Quoc V. Le	Bundle Methods for Regularized Risk Minimization.	Journal of Machine Learning Research	2010	DBLP DOI BibTeX RDF
1	Jin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph	A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning.	Journal of Machine Learning Research	2010	DBLP DOI BibTeX RDF
1	S. V. N. Vishwanathan, Nicol N. Schraudolph, Risi Imre Kondor, Karsten M. Borgwardt	Graph Kernels.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Feng Yan, S. V. N. Vishwanathan, Yuan Qi	Cooperative Autonomous Online Learning	CoRR	2010	DBLP BibTeX RDF
1	Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan	Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies	CoRR	2010	DBLP BibTeX RDF
1	Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan	Faster Rates for training Max-Margin Markov Networks	CoRR	2010	DBLP BibTeX RDF
1	Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vishwanathan, Manik Varma	Large Scale Max-Margin Multi-Label Classification with Priors.	ICML	2010	DBLP BibTeX RDF
1	S. V. N. Vishwanathan, Zhaonan sun, Nawanol Ampornpunt, Manik Varma	Multiple Kernel Learning and the SMO Algorithm.	NIPS	2010	DBLP BibTeX RDF
1	Novi Quadrianto, Alexander J. Smola, Tibério S. Caetano, S. V. N. Vishwanathan, James Petterson	Multitask Learning without Label Correspondences.	NIPS	2010	DBLP BibTeX RDF
1	Nan Ding, S. V. N. Vishwanathan	t-logistic regression.	NIPS	2010	DBLP BibTeX RDF
1	Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan	Lower Bounds on Rate of Convergence of Cutting Plane Methods.	NIPS	2010	DBLP BibTeX RDF
1	Nino Shervashidze, S. V. N. Vishwanathan, Tobias Petri, Kurt Mehlhorn, Karsten M. Borgwardt	Efficient graphlet kernels for large graph comparison.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander J. Smola, S. V. N. Vishwanathan	Hash Kernels for Structured Data.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	Peter Sunehag, Jochen Trumpf, S. V. N. Vishwanathan, Nicol N. Schraudolph	Variable Metric Stochastic Approximation Theory.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	Ankan Saha, Xinhua Zhang, S. V. N. Vishwanathan	Lower Bounds for BMRM and Faster Rates for Training SVMs	CoRR	2009	DBLP BibTeX RDF
1	Ankan Saha, S. V. N. Vishwanathan	Efficient Approximation Algorithms for Minimum Enclosing Convex Shapes	CoRR	2009	DBLP BibTeX RDF
1	Manfred K. Warmuth, S. V. N. Vishwanathan	Tutorial summary: Survey of boosting from an optimization perspective.	ICML	2009	DBLP DOI BibTeX RDF
1	Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander J. Smola, Alexander L. Strehl, Vishy Vishwanathan	Hash Kernels.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	S. V. N. Vishwanathan, Karsten M. Borgwardt, Risi Imre Kondor, Nicol N. Schraudolph	Graph Kernels	CoRR	2008	DBLP BibTeX RDF
1	Jin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph	A quasi-Newton approach to non-smooth convex optimization.	ICML	2008	DBLP DOI BibTeX RDF
1	Li Cheng, S. V. N. Vishwanathan, Xinhua Zhang	Consistent image analogies using semi-supervised learning.	CVPR	2008	DBLP DOI BibTeX RDF
1	Manfred K. Warmuth, Karen A. Glocer, S. V. N. Vishwanathan	Entropy Regularized LPBoost.	ALT	2008	DBLP DOI BibTeX RDF
1	Simon Günter, Nicol N. Schraudolph, S. V. N. Vishwanathan	Fast Iterative Kernel Principal Component Analysis.	Journal of Machine Learning Research	2007	DBLP BibTeX RDF
1	S. V. N. Vishwanathan, Alexander J. Smola, René Vidal	Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes.	International Journal of Computer Vision	2007	DBLP DOI BibTeX RDF	Binet-Cauchy theorem, ARMA models and dynamical systems, sylvester equation, kernel methods, dynamic scenes, dynamic textures, reproducing kernel Hilbert spaces
1	Qinfeng Shi, Yasemin Altun, Alex J. Smola, S. V. N. Vishwanathan	Semi-Markov Models for Sequence Segmentation.	EMNLP-CoNLL	2007	DBLP BibTeX RDF
1	Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanathan	Conditional random fields for multi-agent reinforcement learning.	ICML	2007	DBLP DOI BibTeX RDF
1	Li Cheng, S. V. N. Vishwanathan	Learning to compress images and videos.	ICML	2007	DBLP DOI BibTeX RDF
1	Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le	Bundle Methods for Machine Learning.	NIPS	2007	DBLP BibTeX RDF
1	Karsten M. Borgwardt, Tobias Petri, S. V. N. Vishwanathan, Hans-Peter Kriegel	An Efficient Sampling Scheme For Comparison of Large Graphs.	MLG	2007	DBLP BibTeX RDF
1	Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le	A scalable modular convex solver for regularized risk minimization.	KDD	2007	DBLP DOI BibTeX RDF	optimization, algorithms, convexity
1	S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex J. Smola	Step Size Adaptation in Reproducing Kernel Hilbert Space.	Journal of Machine Learning Research	2006	DBLP BibTeX RDF
1	S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri Guttman, Alexander J. Smola	Kernel extrapolation.	Neurocomputing	2006	DBLP DOI BibTeX RDF
1	Karsten M. Borgwardt, S. V. N. Vishwanathan, Hans-Peter Kriegel	Class Prediction from Time Series Gene Expression Profiles Using Dynamical Systems Kernels.	Pacific Symposium on Biocomputing	2006	DBLP BibTeX RDF
1	Li Cheng, Shaojun Wang, Dale Schuurmans, Terry Caelli, S. V. N. Vishwanathan	An Online Discriminative Approach to Background Subtraction.	AVSS	2006	DBLP DOI BibTeX RDF
1	S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy	Accelerated training of conditional random fields with stochastic gradient methods.	ICML	2006	DBLP DOI BibTeX RDF
1	Choon Hui Teo, S. V. N. Vishwanathan	Fast and space efficient string kernels using suffix arrays.	ICML	2006	DBLP DOI BibTeX RDF
1	S. V. N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph	Fast Computation of Graph Kernels.	NIPS	2006	DBLP BibTeX RDF
1	Nicol N. Schraudolph, Simon Günter, S. V. N. Vishwanathan	Fast Iterative Kernel PCA.	NIPS	2006	DBLP BibTeX RDF
1	Li Cheng, S. V. N. Vishwanathan, Dale Schuurmans, Shaojun Wang, Terry Caelli	implicit Online Learning with Kernels.	NIPS	2006	DBLP BibTeX RDF
1	Gaëlle Loosli, Stéphane Canu, S. V. N. Vishwanathan, Alexander J. Smola, M. Chattopadhyay	Boîte à outils SVM simple et rapide.	Revue d'Intelligence Artificielle	2005	DBLP BibTeX RDF
1	Karsten M. Borgwardt, Omri Guttman, S. V. N. Vishwanathan, Alexander J. Smola	Joint Regularization.	ESANN	2005	DBLP BibTeX RDF
1	Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schönauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel	Protein function prediction via graph kernels.	ISMB (Supplement of Bioinformatics)	2005	DBLP DOI BibTeX RDF
1	Omri Guttman, S. V. N. Vishwanathan, Robert C. Williamson	Learnability of Probabilistic Automata via Oracles.	ALT	2005	DBLP DOI BibTeX RDF
1	Manfred K. Warmuth, S. V. N. Vishwanathan	Leaving the Span.	COLT	2005	DBLP DOI BibTeX RDF
1	Thomas Gärtner, Quoc V. Le, Simon Burton, Alex J. Smola, S. V. N. Vishwanathan	Large-Scale Multiclass Transduction.	NIPS	2005	DBLP BibTeX RDF
1	S. V. N. Vishwanathan, Alex J. Smola	Binet-Cauchy Kernels.	NIPS	2004	DBLP BibTeX RDF
1	S. V. N. Vishwanathan, Alex J. Smola, M. Narasimha Murty	SimpleSVM.	ICML	2003	DBLP BibTeX RDF
1	Alexander J. Smola, Vishy Vishwanathan, Eleazar Eskin	Laplace Propagation.	NIPS	2003	DBLP BibTeX RDF
1	S. V. N. Vishwanathan, M. Narasimha Murty	Geometric SVM: A Fast and Intuitive SVM Algorithm.	ICPR	2002	DBLP DOI BibTeX RDF
1	S. V. N. Vishwanathan, M. Narasimha Murty	Jigsawing : A Method to Create Virtual Examples in OCR data.	HIS	2002	DBLP BibTeX RDF
1	S. V. N. Vishwanathan, Alexander J. Smola	Fast Kernels for String and Tree Matching.	NIPS	2002	DBLP BibTeX RDF
1	S. V. N. Vishwanathan, M. Narasimha Murty	Use of Multi-category Proximal SVM for Data Set Reduction.	HIS	2001	DBLP BibTeX RDF
1	S. V. N. Vishwanathan, M. Narasimha Murty	Kohonen's SOM with cache.	Pattern Recognition	2000	DBLP DOI BibTeX RDF

Publications of S. V. N. Vishwanathan Vishy Vishwanathan ( http://dblp.L3S.de/Authors/S._V._N._Vishwanathan )