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MEMOCODE
2006
IEEE
14 years 3 months ago
A scenario-aware data flow model for combined long-run average and worst-case performance analysis
Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...
Bart D. Theelen, Marc Geilen, Twan Basten, Jeroen ...
PAMI
2010
192views more  PAMI 2010»
13 years 7 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
IJCNN
2006
IEEE
14 years 3 months ago
Event modeling of message interchange in stochastic neural ensembles
— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...
Vicenç Gómez, Andreas Kaltenbrunner,...
ECCB
2002
IEEE
14 years 2 months ago
Stochastic roadmap simulation for the study of ligand-protein interactions
The dynamics of ligand-protein interactions are necessary to understand for the design of novel therapeutic agents. In this paper, we establish the use of Stochastic Roadmap Simul...
Mehmet Serkan Apaydin, Carlos Guestrin, Chris Varm...
CPE
2003
Springer
149views Hardware» more  CPE 2003»
14 years 2 months ago
Logical and Stochastic Modeling with SMART
We describe the main features of SmArT, a software package providing a seamless environment for the logic and probabilistic analysis of complex systems. SmArT can combine differen...
Gianfranco Ciardo, R. L. Jones III, Andrew S. Mine...