Matrix Completion via Schatten Capped $p$ p Norm
IEEE Transactions on Knowledge and Data Engineering(2022)
Abstract
The low-rank matrix completion problem is fundamental in both machine learning and computer vision fields with many important applications, such as recommendation system, motion capture, face recognition, and image inpainting. In order to avoid solving the rank minimization problem which is NP-hard, several surrogate functions of the rank have been proposed in the literature. However, the matrix r...
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Key words
Minimization,Optimization,Heuristic algorithms,Computer vision,Machine learning,Face recognition,Image restoration
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