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» Automatic Optimization for MapReduce Programs
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GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 9 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 1 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
PLDI
2010
ACM
14 years 19 days ago
Bringing Extensibility to Verified Compilers
Verified compilers, such as Leroy's CompCert, are accompanied by a fully checked correctness proof. Both the compiler and proof are often constructed with an interactive proo...
Zachary Tatlock, Sorin Lerner
ECOOP
2004
Springer
14 years 1 months ago
Finding and Removing Performance Bottlenecks in Large Systems
Abstract. Software systems obey the 80/20 rule: aggressively optimizing a vital few execution paths yields large speedups. However, finding the vital few paths can be difficult, e...
Glenn Ammons, Jong-Deok Choi, Manish Gupta, Nikhil...
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 3 months ago
Environmental robustness in multi-agent teams
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Terence Soule, Robert B. Heckendorn