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JMLR
2012
13 years 2 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...
DAC
2005
ACM
16 years 20 days ago
2005
ACM
In this paper an optimization based model order reduction (MOR) framework is proposed. The method involves setting up a quasiconvex program that explicitly minimizes a relaxation ...
ICML
2010
IEEE
14 years 12 months ago
2010
IEEE
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
ISCAS
2003
IEEE
15 years 5 months ago
2003
IEEE
This paper considers the problem of minimizing roundoff noise in two-dimensional (2-D) state-space digital filters subject to L2-norm dynamic-range scaling constraints. The mini...
CORR
2011
Springer
14 years 3 months ago
2011
Springer
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...