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ICASSP
2010
IEEE
15 years 6 months ago
Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation
In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as wel...
Martin Luessi, S. Derin Babacan, Rafael Molina, Ja...
INFOCOM
2010
IEEE
15 years 4 months ago
Distributed Algorithms for Approximating Wireless Network Capacity
—In this paper we consider the problem of maximizing wireless network capacity (a.k.a. one-shot scheduling) in both the protocol and physical models. We give the first distribut...
Michael Dinitz
ISAAC
2003
Springer
129views Algorithms» more  ISAAC 2003»
15 years 11 months ago
Polynomial Time Approximate Sampler for Discretized Dirichlet Distribution
Abstract. In this paper, we propose a Markov chain for sampling a random vector distributed according to a discretized Dirichlet distribution. We show that our Markov chain is rapi...
Tomomi Matsui, Mitsuo Motoki, Naoyuki Kamatani
ISBI
2008
IEEE
16 years 6 months ago
On approximation of orientation distributions by means of spherical ridgelets
Visualization and analysis of the micro-architecture of brain parenchyma by means of magnetic resonance imaging is nowadays believed to be one of the most powerful tools used for ...
Oleg V. Michailovich, Yogesh Rathi
ESA
2010
Springer
227views Algorithms» more  ESA 2010»
15 years 7 months ago
Approximating Parameterized Convex Optimization Problems
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...
Joachim Giesen, Martin Jaggi, Sören Laue