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A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms
Lanczos Method Singular Value Decomposition Eigenvalue
2011/3/1
Recent years have witnessed the popularity of using rank minimization as a regularizer for various signal processing and machine learning problems.
Closed-Form Solutions to A Category of Nuclear Norm Minimization Problems
Closed-Form Solutions Nuclear Norm Minimization Problems
2010/11/24
It is an efficient and effective strategy to utilize the nuclear norm approximation to learn low-rank matrices, which arise frequently in machine learning and computer vision. So the exploration of n...
Finding approximately rank-one submatrices with the nuclear norm and l1 norm
rank-one submatrices the nuclear norm and l1 norm
2010/11/15
We propose a convex optimization formulation with the nuclear norm and $\ell_1$-norm to find a large approximately rank-one submatrix of a given nonnegative matrix. We develop optimality conditions f...