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ECCV
2006
Springer
15 years 11 months ago
Sparse Flexible Models of Local Features
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
Gustavo Carneiro, David Lowe
ECML
2006
Springer
15 years 1 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
ECAL
2007
Springer
15 years 4 months ago
Spatial Embedding and Complexity: The Small-World Is Not Enough
The “order for free” exhibited by some classes of system has been exploited by natural selection in order to build systems capable of exhibiting complex behaviour. Here we expl...
Christopher L. Buckley, Seth Bullock
IJON
2010
138views more  IJON 2010»
14 years 8 months ago
A dynamic Bayesian network to represent discrete duration models
Originally devoted to specific applications such as biology, medicine and demography, duration models are now widely used in economy, finance or reliability. Recent works in var...
Roland Donat, Philippe Leray, Laurent Bouillaut, P...
COMPLEXITY
2010
108views more  COMPLEXITY 2010»
14 years 7 months ago
How to make dull cellular automata complex by adding memory: Rule 126 case study
Using Rule 126 elementary cellular automaton (ECA) we demonstrate that a chaotic discrete system -- when enriched with memory
Genaro Juárez Martínez, Andrew Adama...