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» Case Studies in Model Manipulation for Scientific Computing
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PODS
2006
ACM
95views Database» more  PODS 2006»
16 years 4 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...
NC
2010
150views Neural Networks» more  NC 2010»
15 years 2 months ago
Deterministic and stochastic P systems for modelling cellular processes
This paper presents two approaches based on metabolic and stochastic P systems, together with their associated analysis methods, for modelling biological systems and illustrates th...
Marian Gheorghe, Vincenzo Manca, Francisco Jos&eac...
CVPR
2000
IEEE
16 years 6 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
SIGECOM
2006
ACM
143views ECommerce» more  SIGECOM 2006»
15 years 10 months ago
The computational complexity of nash equilibria in concisely represented games
Games may be represented in many different ways, and different representations of games affect the complexity of problems associated with games, such as finding a Nash equilib...
Grant Schoenebeck, Salil P. Vadhan
PG
1997
IEEE
15 years 8 months ago
A practitioners' assessment of light reflection models
We discuss the theory and practical issues behind creating reflection models to show the difficulty of the problem. We survey the current approaches towards reflection models for ...
Peter Shirley, Brian E. Smits, Helen H. Hu, Eric P...