58 search results - page 1 / 12 » Network Flow Algorithms for Structured Sparsity |
CORR
2010
Springer
13 years 4 months ago
2010
Springer
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
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...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper considers the problem of finding sparse solutions from multiple measurement vectors (MMVs) with joint sparsity. The solutions share the same sparsity structure, and th...
PLDI
1994
ACM
13 years 8 months ago
1994
ACM
In this paper, we describe the program structure tree (PST), a hierarchical representation of program structure based on single entry single exit (SESE) regions of the control flo...
KDD
2009
ACM
13 years 11 months ago
2009
ACM
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...