Suriya Gunasekar
About
Suriya Gunasekar has authored 16 papers that have received a total of 266 indexed citations.
This includes 8 papers in Artificial Intelligence, 6 papers in Computational Mechanics and 4 papers in Computer Vision and Pattern Recognition. The topics of these papers are Sparse and Compressive Sensing Techniques (6 papers), Stochastic Gradient Optimization Techniques (5 papers) and Face and Expression Recognition (4 papers). Suriya Gunasekar is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Stochastic Gradient Optimization Techniques (5 papers) and Face and Expression Recognition (4 papers) and collaborates with scholars based in United States, Israel and Japan. Suriya Gunasekar's co-authors include Nathan Srebro, Daniel Soudry, Jason D. Lee, Joydeep Ghosh and Blake Woodworth and has published in prestigious journals such as Journal of Machine Learning Research and IEEE Transactions on Information Forensics and Security
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