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153
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TNN
2010
182views Management» more  TNN 2010»
14 years 9 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi
ICASSP
2011
IEEE
14 years 5 months ago
Proximal splitting methods for depth estimation
Stereo matching is an active area of research in image processing. In a recent work, a convex programming approach was developed in order to generate a dense disparity field. In ...
Mireille El Gheche, Jean-Christophe Pesquet, Jouma...
118
Voted
LR
2011
108views more  LR 2011»
14 years 5 months ago
Modeling production networks with discrete processes by means of communities of autonomous units
Abstract Communities of autonomous units are devices for the visual modeling of interactive logistic processes. The framework is founded on rule-based graph transformation and allo...
Hans-Jörg Kreowski, Sabine Kuske, Caroline vo...
190
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TOG
2012
230views Communications» more  TOG 2012»
13 years 4 months ago
Decoupling algorithms from schedules for easy optimization of image processing pipelines
Using existing programming tools, writing high-performance image processing code requires sacrificing readability, portability, and modularity. We argue that this is a consequenc...
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris...
193
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SIGMOD
2007
ACM
196views Database» more  SIGMOD 2007»
16 years 2 months ago
GPUQP: query co-processing using graphics processors
We present GPUQP, a relational query engine that employs both CPUs and GPUs (Graphics Processing Units) for in-memory query co-processing. GPUs are commodity processors traditiona...
Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. ...