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JMLR
2010
106views more  JMLR 2010»
13 years 2 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
SIAMSC
2008
131views more  SIAMSC 2008»
13 years 8 months ago
Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces
Many important physiological processes operate at time and space scales far beyond those accessible to atom-realistic simulations, and yet discrete stochastic rather than continuum...
Rex A. Kerr, Thomas M. Bartol, Boris Kaminsky, Mar...
JSA
2007
191views more  JSA 2007»
13 years 8 months ago
Automated memory-aware application distribution for Multi-processor System-on-Chips
Mapping of applications on a Multiprocessor System-on-Chip (MP-SoC) is a crucial step to optimize performance, energy and memory constraints at the same time. The problem is formu...
Heikki Orsila, Tero Kangas, Erno Salminen, Timo D....
PVG
2003
IEEE
212views Visualization» more  PVG 2003»
14 years 1 months ago
SLIC: Scheduled Linear Image Compositing for Parallel Volume Rendering
Parallel volume rendering offers a feasible solution to the large data visualization problem by distributing both the data and rendering calculations among multiple computers con...
Aleksander Stompel, Kwan-Liu Ma, Eric B. Lum, Jame...
HVC
2005
Springer
97views Hardware» more  HVC 2005»
14 years 1 months ago
An Extensible Open-Source Compiler Infrastructure for Testing
Testing forms a critical part of the development process for large-scale software, and there is growing need for automated tools that can read, represent, analyze, and transform th...
Daniel J. Quinlan, Shmuel Ur, Richard W. Vuduc