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» Sparse Numerical Semigroups
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CORR
2012
Springer
232views Education» more  CORR 2012»
13 years 7 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
ECCV
2004
Springer
16 years 1 months ago
Sparse Finite Elements for Geodesic Contours with Level-Sets
Level-set methods have been shown to be an effective way to solve optimisation problems that involve closed curves. They are well known for their capacity to deal with flexible top...
Martin Weber, Andrew Blake, Roberto Cipolla
ICASSP
2010
IEEE
14 years 12 months ago
Collaborative spectrum sensing from sparse observations using matrix completion for cognitive radio networks
— In cognitive radio, spectrum sensing is a key component to detect spectrum holes (i.e., channels not used by any primary users). Collaborative spectrum sensing among the cognit...
Jia Meng, Wotao Yin, Husheng Li, Ekram Hossain, Zh...
CORR
2011
Springer
191views Education» more  CORR 2011»
14 years 6 months ago
A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels
We propose a factor-graph-based approach to joint channel-estimationand-decoding of bit-interleaved coded orthogonal frequency division multiplexing (BICM-OFDM). In contrast to ex...
Philip Schniter
EUROPAR
2004
Springer
15 years 5 months ago
Task-Queue Based Hybrid Parallelism: A Case Study
Abstract. In this paper we report on our experiences with hybrid parallelism in PARDISO, a high-performance sparse linear solver. We start with the OpenMP-parallel numerical factor...
Karl Fürlinger, Olaf Schenk, Michael Hagemann