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» Distributed sparse linear regression
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ISPDC
2005
IEEE
14 years 3 months ago
GMRES Method on Lightweight GRID System
Grid computing accomplishes high throughput computing by using a very large number of unexploited computing resources. We present a parallel method GMRES to solve large sparse lin...
Haiwu He, Guy Bergére, Serge G. Petiton
IPPS
2007
IEEE
14 years 4 months ago
A Parallel Hybrid Method of GMRES on GRID System
Grid computing focuses on making use of a very large amount of resources from a large-scale computing environment. It intends to deliver high-performance computing over distribute...
Ye Zhang, Guy Bergére, Serge G. Petiton
NIPS
2007
13 years 11 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
13 years 8 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...
CVPR
2012
IEEE
12 years 6 days ago
Keystone correction for stereoscopic cinematography
Keystone distortion is a long-standing problem in stereoscopic cinematography. Keystone distortion occurs when a stereoscopic camera toes in to achieve a desirable disparity distr...
Feng Liu, Yuzhen Niu, Hailin Jin