An RKHS for multi-view learning and manifold co-regularization
- Vikas Sindhwani
- David S. Rosenberg
- 2008
- ICML 2008
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32 results for Vikas Sindhwani
Near-separable non-negative matrix factorization with ℓ1 and Bregman loss functions
- Abhishek Kumar
- Vikas Sindhwani
- 2015
- SDM 2015
Random laplace feature maps for semigroup kernels on histograms
- Jiyan Yang
- Vikas Sindhwani
- et al.
- 2014
- CVPR 2014
Personalized classifiers: Evolving a classifier from a large reference Knowledge Graph
- Ramakrishna B. Bairi
- Ganesh Ramakrishnan
- et al.
- 2014
- IDEAS 2014
Kernel methods match deep neural networks on TIMIT
- Po-Sen Huang
- Haim Avron
- et al.
- 2014
- ICASSP 2014
Scalable matrix-valued kernel learning for high-dimensional nonlinear multivariate regression and granger causality
- Vikas Sindhwani
- Hà Quang Minh
- et al.
- 2013
- UAI 2013
Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets
- Tara N. Sainath
- Brian Kingsbury
- et al.
- 2013
- ICASSP 2013
Large-scale distributed non-negative sparse coding and sparse dictionary learning
- Vikas Sindhwani
- Amol Ghoting
- 2012
- KDD 2012
Learning evolving and emerging topics in social media: A dynamic NMF approach with temporal regularization
- Ankan Saha
- Vikas Sindhwani
- 2012
- WSDM 2012
Emerging topic detection using dictionary learning
- Shiva Prasad Kasiviswanathan
- Prem Melville
- et al.
- 2011
- CIKM 2011