The FLSA can be transformed to a standard Lasso problem. The sign recovery of the transformed Lasso problem is equivalent to the pattern recovery of the FLSA ...
Abstract: We study the property of the Fused Lasso Signal Approximator (FLSA) for estimating a blocky signal sequence with additive noise. We transform the FLSA ...
Theoretical results give insight on what controls the signal pattern recovery ability -- it is the noise level {instead of} the length of the sequence.
We study the property of the Fused Lasso Signal Approximator (FLSA) for estimating a blocky signal sequence with additive noise. We transform the FLSA to an ...
We give necessary and sufficient conditions on the expected signal pattern such that the irrepresentable condition holds in the transformed Lasso problem.
Nov 22, 2012 · Abstract:We study the property of the Fused Lasso Signal Approximator (FLSA) for estimating a blocky signal sequence with additive noise.
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A comprehensive review of the path algorithms for the FLSA is provided and the properties of the recently modified path algorithms' hitting times are proved ...
We study the property of the Fused Lasso Signal Approximator. (FLSA) for estimating a blocky signal sequence with additive noise.
We compare four methods based on the entire solution path along λ 2 , the exact pattern recovery probability, and the estimation performance of the signal ...
We derive conditions for the recovery of the true block partition and the true sparsity patterns by the fused lasso and the fused adaptive lasso, and we derive ...
Missing: stepwise | Show results with:stepwise