39 search results - page 1 / 8 » Trading Accuracy for Sparsity in Optimization Problems with ... |
SIAMJO
2010
12 years 11 months ago
2010
We study the problem of minimizing the expected loss of a linear predictor while constraining its sparsity, i.e., bounding the number of features used by the predictor. While the r...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Most bioimaging modalities rely on indirect measurements of the quantity under investigation. The image is obtained as the result of an optimization problem involving a physical m...
JMLR
2012
11 years 7 months ago
2012
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
CISS
2011
IEEE
12 years 8 months ago
2011
IEEE
—In this work we address the problem of state estimation in dynamical systems using recent developments in compressive sensing and sparse approximation. We formulate the traditio...