Robust Principal Component Analysis
Recovery of low rank and sparse component from data matrix using Prinicipal Component Pursuit. Possible applications in object detection and face recognition
Here you’ll find summary of the major projects I’ve worked on over the years, which are representative of my skills and interests.The explanations here are a broad overview of my work. If you are interested in more technical details and in-depth explanation, feel free to contact me.
Recovery of low rank and sparse component from data matrix using Prinicipal Component Pursuit. Possible applications in object detection and face recognition
Collaborative filtering based on low rank matrix factorization and matrix completion techniques