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SMI
2005
IEEE
15 years 6 months ago
Maximizing Adaptivity in Hierarchical Topological Models
We present an approach to hierarchically encode the topology of functions over triangulated surfaces. We describe the topology of a function by its Morse-Smale complex, a well kno...
Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann
112
Voted
CVPR
1997
IEEE
15 years 5 months ago
Learning Generic Prior Models for Visual Computation
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
Song Chun Zhu, David Mumford
92
Voted
SYNTHESE
2010
70views more  SYNTHESE 2010»
14 years 7 months ago
Models and fiction
Most scientific models are not physical objects, and this raises important questions. What sort of entity are models, what is truth in a model, and how do we learn about models? In...
Roman Frigg
95
Voted
EMSOFT
2007
Springer
15 years 7 months ago
Buffer optimization and dispatching scheme for embedded systems with behavioral transparency
Software components are modular and can enable post-deployment update, but their high overhead in runtime and memory is prohibitive for many embedded systems. This paper proposes ...
Jiwon Hahn, Pai H. Chou
NIPS
2003
15 years 2 months ago
Model Uncertainty in Classical Conditioning
We develop a framework based on Bayesian model averaging to explain how animals cope with uncertainty about contingencies in classical conditioning experiments. Traditional accoun...
Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. ...