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S. V. N. Vishwanathan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

Omri Guttman, S. V. N. Vishwanathan, Robert C. Williamson
Learnability of Probabilistic Automata via Oracles. [Citation Graph (0, 0)][DBLP]
ALT, 2005, pp:171-182 [Conf]
Manfred K. Warmuth, S. V. N. Vishwanathan
Leaving the Span. [Citation Graph (0, 0)][DBLP]
COLT, 2005, pp:366-381 [Conf]
Karsten M. Borgwardt, Omri Guttman, S. V. N. Vishwanathan, Alexander J. Smola
Joint Regularization. [Citation Graph (0, 0)][DBLP]
ESANN, 2005, pp:455-460 [Conf]
S. V. N. Vishwanathan, M. Narasimha Murty
Jigsawing : A Method to Create Virtual Examples in OCR data. [Citation Graph (0, 0)][DBLP]
HIS, 2002, pp:690-696 [Conf]
S. V. N. Vishwanathan, M. Narasimha Murty
Use of Multi-category Proximal SVM for Data Set Reduction. [Citation Graph (0, 0)][DBLP]
HIS, 2001, pp:19-24 [Conf]
Choon Hui Teo, S. V. N. Vishwanathan
Fast and space efficient string kernels using suffix arrays. [Citation Graph (0, 0)][DBLP]
ICML, 2006, pp:929-936 [Conf]
S. V. N. Vishwanathan, Alex J. Smola, M. Narasimha Murty
SimpleSVM. [Citation Graph (0, 0)][DBLP]
ICML, 2003, pp:760-767 [Conf]
S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy
Accelerated training of conditional random fields with stochastic gradient methods. [Citation Graph (0, 0)][DBLP]
ICML, 2006, pp:969-976 [Conf]
S. V. N. Vishwanathan, M. Narasimha Murty
Geometric SVM: A Fast and Intuitive SVM Algorithm. [Citation Graph (0, 0)][DBLP]
ICPR (2), 2002, pp:56-59 [Conf]
Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schönauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel
Protein function prediction via graph kernels. [Citation Graph (0, 0)][DBLP]
ISMB (Supplement of Bioinformatics), 2005, pp:47-56 [Conf]
Thomas Gärtner, Quoc V. Le, Simon Burton, Alex J. Smola, S. V. N. Vishwanathan
Large-Scale Multiclass Transduction. [Citation Graph (0, 0)][DBLP]
NIPS, 2005, pp:- [Conf]
S. V. N. Vishwanathan, Alex J. Smola
Binet-Cauchy Kernels. [Citation Graph (0, 0)][DBLP]
NIPS, 2004, pp:- [Conf]
S. V. N. Vishwanathan, Alexander J. Smola
Fast Kernels for String and Tree Matching. [Citation Graph (0, 0)][DBLP]
NIPS, 2002, pp:569-576 [Conf]
Karsten M. Borgwardt, S. V. N. Vishwanathan, Hans-Peter Kriegel
Class Prediction from Time Series Gene Expression Profiles Using Dynamical Systems Kernels. [Citation Graph (0, 0)][DBLP]
Pacific Symposium on Biocomputing, 2006, pp:547-558 [Conf]
S. V. N. Vishwanathan, Alexander J. Smola, René Vidal
Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes. [Citation Graph (0, 0)][DBLP]
International Journal of Computer Vision, 2007, v:73, n:1, pp:95-119 [Journal]
S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri Guttman, Alexander J. Smola
Kernel extrapolation. [Citation Graph (0, 0)][DBLP]
Neurocomputing, 2006, v:69, n:7-9, pp:721-729 [Journal]
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex J. Smola
Step Size Adaptation in Reproducing Kernel Hilbert Space. [Citation Graph (0, 0)][DBLP]
Journal of Machine Learning Research, 2006, v:7, n:, pp:1107-1133 [Journal]
S. V. N. Vishwanathan, M. Narasimha Murty
Kohonen's SOM with cache. [Citation Graph (0, 0)][DBLP]
Pattern Recognition, 2000, v:33, n:11, pp:1927-1929 [Journal]
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanathan
Conditional random fields for multi-agent reinforcement learning. [Citation Graph (0, 0)][DBLP]
ICML, 2007, pp:1143-1150 [Conf]
Li Cheng, S. V. N. Vishwanathan
Learning to compress images and videos. [Citation Graph (0, 0)][DBLP]
ICML, 2007, pp:161-168 [Conf]
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
A scalable modular convex solver for regularized risk minimization. [Citation Graph (0, 0)][DBLP]
KDD, 2007, pp:727-736 [Conf]
S. V. N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph
Fast Computation of Graph Kernels. [Citation Graph (0, 0)][DBLP]
NIPS, 2006, pp:1449-1456 [Conf]
Nicol N. Schraudolph, Simon Günter, S. V. N. Vishwanathan
Fast Iterative Kernel PCA. [Citation Graph (0, 0)][DBLP]
NIPS, 2006, pp:1225-1232 [Conf]
Li Cheng, S. V. N. Vishwanathan, Dale Schuurmans, Shaojun Wang, Terry Caelli
implicit Online Learning with Kernels. [Citation Graph (0, 0)][DBLP]
NIPS, 2006, pp:249-256 [Conf]
Entropy Regularized LPBoost. [Citation Graph (, )][DBLP]
An Online Discriminative Approach to Background Subtraction. [Citation Graph (, )][DBLP]
Consistent image analogies using semi-supervised learning. [Citation Graph (, )][DBLP]
A quasi-Newton approach to non-smooth convex optimization. [Citation Graph (, )][DBLP]
Tutorial summary: Survey of boosting from an optimization perspective. [Citation Graph (, )][DBLP]
Large Scale Max-Margin Multi-Label Classification with Priors. [Citation Graph (, )][DBLP]
Bundle Methods for Machine Learning. [Citation Graph (, )][DBLP]
An Efficient Sampling Scheme For Comparison of Large Graphs. [Citation Graph (, )][DBLP]
Semi-Markov Models for Sequence Segmentation. [Citation Graph (, )][DBLP]
Graph Kernels [Citation Graph (, )][DBLP]
Efficient Approximation Algorithms for Minimum Enclosing Convex Shapes [Citation Graph (, )][DBLP]
Lower Bounds for BMRM and Faster Rates for Training SVMs [Citation Graph (, )][DBLP]
Faster Rates for training Max-Margin Markov Networks [Citation Graph (, )][DBLP]
Cooperative Autonomous Online Learning [Citation Graph (, )][DBLP]

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