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SIAMSC
2008
198views more  SIAMSC 2008»
15 years 6 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
CLEIEJ
2004
123views more  CLEIEJ 2004»
15 years 6 months ago
BMM: A Business Modeling Method For Information Systems Development
An important premise of most of the contemporary methods for developing Software and Information Systems is that a good understanding of the application domain is essential for a ...
Jonás A. Montilva Calderón, Judith B...
ICCV
2011
IEEE
14 years 6 months ago
An adaptive coupled-layer visual model for robust visual tracking
This paper addresses the problem of tracking objects which undergo rapid and significant appearance changes. We propose a novel coupled-layer visual model that combines the targe...
Luka Cehovin, Matej Kristan, Ales Leonardis
IRI
2006
IEEE
16 years 24 days ago
Environment as support for simplification, reuse and integration of processes in spatial MAS
The development of solutions to complex problems requires finding answers to several questions which are obstacles on the road leading to the solution. To perpetuate progress, the...
Denis Payet, Rémy Courdier, Nicolas S&eacut...
DAGSTUHL
1990
15 years 8 months ago
Integrating Rules and Connectionism for Robust Reasoning
A connectionist model for robust reasoning, CONSYDERR, is proposed to account for some common reasoning patterns found in commonsense reasoning and to remedy the brittleness probl...
Ron Sun