Vikas Sindhwani
Google (United States)(US)DeepMind (United Kingdom)(GB)
Publications by Year
Research Areas
Face and Expression Recognition, Reinforcement Learning in Robotics, Sparse and Compressive Sensing Techniques, Robotic Path Planning Algorithms, Robot Manipulation and Learning
Most-Cited Works
- Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples(2006)
- → Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets(2013)599 cited
- → Beyond the point cloud(2005)442 cited
- → Optimization Techniques for Semi-Supervised Support Vector Machines(2008)410 cited
- A Co-Regularization Approach to Semi-supervised Learning with Multiple Views(2005)
- On Manifold Regularization.(2005)
- → SystemML: Declarative machine learning on MapReduce(2011)298 cited
- → Data quality from crowdsourcing(2009)252 cited
- →