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IJCV
2008
266views more  IJCV 2008»
13 years 9 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
MLMI
2007
Springer
14 years 3 months ago
Spoken Term Detection System Based on Combination of LVCSR and Phonetic Search
Igor Szöke, Michal Fapso, Martin Karafi&aacut...
ICML
2006
IEEE
14 years 9 months ago
Bayesian learning of measurement and structural models
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
Ricardo Silva, Richard Scheines
SBIA
2004
Springer
14 years 2 months ago
Detecting Promising Areas by Evolutionary Clustering Search
A challenge in hybrid evolutionary algorithms is to define efficient strategies to cover all search space, applying local search only in actually promising search areas. This pape...
Alexandre César Muniz de Oliveira, Luiz Ant...
CORR
2007
Springer
108views Education» more  CORR 2007»
13 years 9 months ago
Scuba Search : when selection meets innovation
— We proposed a new search heuristic using the scuba diving metaphor. This approach is based on the concept of evolvability and tends to exploit neutrality in fitness landscape....
Sébastien Vérel, Philippe Collard, M...