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SIAMIS
2011
14 years 4 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
GECCO
2006
Springer
200views Optimization» more  GECCO 2006»
15 years 1 months ago
A new approach for shortest path routing problem by random key-based GA
In this paper, we propose a Genetic Algorithm (GA) approach using a new paths growth procedure by the random key-based encoding for solving Shortest Path Routing (SPR) problem. An...
Mitsuo Gen, Lin Lin
IDEAS
2007
IEEE
135views Database» more  IDEAS 2007»
15 years 4 months ago
Bitmap Index Design Choices and Their Performance Implications
Historically, bitmap indexing has provided an important database capability to accelerate queries. However, only a few database systems have implemented these indexes because of t...
Elizabeth J. O'Neil, Patrick E. O'Neil, Kesheng Wu
EMO
2006
Springer
219views Optimization» more  EMO 2006»
15 years 1 months ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 3 months ago
Statistical analysis of heuristics for evolving sorting networks
Designing efficient sorting networks has been a challenging combinatorial optimization problem since the early 1960’s. The application of evolutionary computing to this problem ...
Lee K. Graham, Hassan Masum, Franz Oppacher