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» Solving Sparse Integer Linear Systems
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ISBI
2008
IEEE
14 years 10 months ago
Inferring brain dynamics using granger causality on fMRI data
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Ra...
PC
2002
118views Management» more  PC 2002»
13 years 9 months ago
Parallel algorithms for indefinite linear systems
Saddle-point problems give rise to indefinite linear systems that are challenging to solve via iterative methods. This paper surveys two recent techniques for solving such problem...
Ahmed H. Sameh, Vivek Sarin
PRDC
2007
IEEE
14 years 4 months ago
An Automatic Real-Time Analysis of the Time to Reach Consensus
Consensus is one of the most fundamental problems in fault-tolerant distributed computing. This paper proposes a mechanical method for analyzing the condition that allows one to s...
Tatsuhiro Tsuchiya, André Schiper
ICASSP
2011
IEEE
13 years 1 months ago
Image editing based on Sparse Matrix-Vector multiplication
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...
Ying Wang, Hongping Yan, Chunhong Pan, Shiming Xia...
ICASSP
2009
IEEE
14 years 1 months ago
Detection of sparse signals under finite-alphabet constraints
In this paper, we solve the problem of detecting the entries of a sparse finite-alphabet signal from a limited amount of data, for instance obtained by compressive sampling. While...
Zhi Tian, Geert Leus, Vincenzo Lottici