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» Automatic Optimization for MapReduce Programs
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GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
15 years 1 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»
15 years 4 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
15 years 4 months 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
15 years 5 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»
15 years 6 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