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» Computational Modeling and Complexity Science
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PODS
2006
ACM
95views Database» more  PODS 2006»
16 years 6 months ago
Randomized computations on large data sets: tight lower bounds
We study the randomized version of a computation model (introduced in [9, 10]) that restricts random access to external memory and internal memory space. Essentially, this model c...
André Hernich, Martin Grohe, Nicole Schweik...
CANDC
2005
ACM
15 years 8 months ago
Exhibition: computational schemes for biomimetic sculpture
The Mid-Ocean Studio, Brown University’s SHAPE lab, and Goldsmiths College are collaborating on a prototype system for the automatic evolution of biomimetic sculpture using stru...
Brower Hatcher, Karl Aspelund, Andrew R. Willis, J...
WSC
2004
15 years 8 months ago
Poly-Functional Intelligent Agents for Computer Generated Forces
The authors present the requirement definition and methodological approach for developing a new generation of Computer Generated Forces (CGF) based on Intelligent Agents. The anal...
Matteo Brandolini, Attilio Rocca, Agostino G. Bruz...
218
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ICDM
2010
IEEE
189views Data Mining» more  ICDM 2010»
15 years 4 months ago
S4: Distributed Stream Computing Platform
Abstract--S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continu...
Leonardo Neumeyer, Bruce Robbins, Anish Nair, Anan...
ICASSP
2011
IEEE
14 years 10 months ago
A new stochastic image model based on Markov random fields and its application to texture modeling
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is intr...
Siamak Yousefi, Nasser D. Kehtarnavaz