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GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 9 months ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley
173
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MM
2009
ACM
187views Multimedia» more  MM 2009»
15 years 9 months ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...
144
Voted
EUROPAR
2009
Springer
15 years 9 months ago
Static Worksharing Strategies for Heterogeneous Computers with Unrecoverable Failures
One has a large workload that is “divisible” (its constituent work’s granularity can be adjusted arbitrarily) and one has access to p remote computers that can assist in comp...
Anne Benoit, Yves Robert, Arnold L. Rosenberg, Fr&...
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 9 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 9 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
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