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GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 8 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
BMCBI
2007
123views more  BMCBI 2007»
15 years 7 months ago
Tracembler - software for in-silico chromosome walking in unassembled genomes
Background: Whole genome shotgun sequencing produces increasingly higher coverage of a genome with random sequence reads. Progressive whole genome assembly and eventual finishing ...
Qunfeng Dong, Matthew D. Wilkerson, Volker Brendel
IPMI
2009
Springer
16 years 7 months ago
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
PPAM
2007
Springer
16 years 1 months ago
A Cost-Benefit-Based Adaptation Scheme for Multimeme Algorithms
Abstract. Memetic Algorithms are the most frequently used hybrid of Evolutionary Algorithms (EA) for real-world applications. This paper will deal with one of the most important ob...
Wilfried Jakob
MM
2005
ACM
122views Multimedia» more  MM 2005»
16 years 15 days ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han