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» Efficient Computation in Groups Via Compression
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JCNS
2000
165views more  JCNS 2000»
13 years 7 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
COORDINATION
2009
Springer
14 years 8 months ago
Multicore Scheduling for Lightweight Communicating Processes
Process-oriented programming is a design methodology in which software applications are constructed from communicating concurrent processes. A process-oriented design is typically ...
Carl G. Ritson, Adam T. Sampson, Fred R. M. Barnes
ICSE
2008
IEEE-ACM
14 years 7 months ago
CCVisu: automatic visual software decomposition
Understanding the structure of large existing (and evolving) software systems is a major challenge for software engineers. In reverse engineering, we aim to compute, for a given s...
Dirk Beyer
BMVC
2010
13 years 5 months ago
Live Feature Clustering in Video Using Appearance and 3D Geometry
We present a method for live grouping of feature points into persistent 3D clusters as a single camera browses a static scene, with no additional assumptions, training or infrastr...
Adrien Angeli, Andrew Davison
TSP
2010
13 years 2 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic