Ye. Orthogonal rank-one matrix pursuit for low rank matrix completion. SIAM Journal on Scientific Computing, 37(1), 2015.Wang Z, Lai J, Lu Z S, Ye JP. Orthogonal rank-one matrix pursuit for low rank matrix comp
Rank-one matrix pursuit for matrix completion 来自 学术范 喜欢 0 阅读量: 243 作者:Z Wang,MJ Lai,Z Lu,W Fan,J Ye 摘要: Low rank matrix completion has been applied successfully in a wide range of machine learning applications, such as collaborative filtering, image inpainting and Microarray ...
For example, Wang et al. [15] extended the orthogonal matching pursuit method from the vector case to the matrix case and completed the matrix by tuning the rank. Vandereycken [16] proposed using low-rank nonlinear conjugated gradients in Euclidean space to perform optimization on manifolds (LR...