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» Parameter Space Exploration of Agent-Based Models
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DAC
2010
ACM
13 years 8 months ago
A correlation-based design space exploration methodology for multi-processor systems-on-chip
Given the increasing complexity of multi-processor systems-onchip, a wide range of parameters must be tuned to find the best trade-offs in terms of the selected system figures of ...
Giovanni Mariani, Aleksandar Brankovic, Gianluca P...
KDD
2002
ACM
194views Data Mining» more  KDD 2002»
14 years 8 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...
DAC
2007
ACM
14 years 8 months ago
Parameterized Macromodeling for Analog System-Level Design Exploration
In this paper we propose a novel parameterized macromodeling technique for analog circuits. Unlike traditional macromodels that are only extracted for a small variation space, our...
Jian Wang, Xin Li, Lawrence T. Pileggi
IJCV
2006
116views more  IJCV 2006»
13 years 7 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...
GECCO
2009
Springer
14 years 2 months ago
Multiobjectivization for parameter estimation: a case-study on the segment polarity network of drosophila
Mathematical modeling for gene regulative networks (GRNs) provides an effective tool for hypothesis testing in biology. A necessary step in setting up such models is the estimati...
Tim Hohm, Eckart Zitzler