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IJCNN
2007
IEEE
15 years 4 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
SI3D
2006
ACM
15 years 3 months ago
Relief mapping of non-height-field surface details
The ability to represent non-height-field mesostructure details is of great importance for rendering complex surface patterns, such as weave and multilayer structures. Currently,...
Fabio Policarpo, Manuel Menezes de Oliveira Neto
IPPS
2005
IEEE
15 years 3 months ago
MaTCH : Mapping Data-Parallel Tasks on a Heterogeneous Computing Platform Using the Cross-Entropy Heuristic
We propose in this paper a heuristic for mapping a set of interacting tasks of a parallel application onto a heterogeneous computing platform such as a computational grid. Our nov...
Soumya Sanyal, Sajal K. Das
JIT
2004
Springer
166views Database» more  JIT 2004»
15 years 3 months ago
Feature-Oriented Development of Software Product Lines: Mapping Feature Models to the Architecture
Software product lines (PLs) present a solid approach in large scale reuse. Due to the PLs’ inherit complexity, many PL methods use the notion of ”features” to support requir...
Periklis Sochos, Ilka Philippow, Matthias Riebisch
SCALESPACE
2001
Springer
15 years 2 months ago
A Multi-scale Feature Likelihood Map for Direct Evaluation of Object Hypotheses
This paper develops and investigates a new approach for evaluating feature based object hypotheses in a direct way. The idea is to compute a feature likelihood map (FLM), which is ...
Ivan Laptev, Tony Lindeberg