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JMLR
2012
13 years 6 months ago
A General Framework for Structured Sparsity via Proximal Optimization
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...
Luca Baldassarre, Jean Morales, Andreas Argyriou, ...
JMLR
2012
13 years 6 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
167
Voted
JMLR
2012
13 years 6 months ago
Universal Measurement Bounds for Structured Sparse Signal Recovery
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
Nikhil S. Rao, Ben Recht, Robert D. Nowak
116
Voted
IEEEICCI
2007
IEEE
15 years 10 months ago
On Experiments for Measuring Cognitive Weights for Software Control Structures
Shao and Wang have proposed a cognitive complexity measure[8] as a metric that can be used for estimating the comprehension effort for understanding software written in imperative...
Volker Gruhn, Ralf Laue
119
Voted
WIOPT
2006
IEEE
15 years 9 months ago
A structural property of solutions to path optimization problems in random access networks
Abstract— The inherent nature of the physical setup and transmission mechanism in wireless ad hoc networks with random channel access, results in correlation between the link met...
Arzad Alam Kherani, Dinesh Kumar 0002, Eitan Altma...