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Fast Solution of `1-norm Minimization Problems When the Solution May be Sparse
LASSO. LARS Homotopy Methods Basis Pursuit.
2015/8/21
The minimum `1-norm solution to an underdetermined system of linear equations y = Ax,
is often, remarkably, also the sparsest solution to that system. This sparsity-seeking property
is of interest i...
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...