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» Unsupervised Problem Decomposition Using Genetic Programming
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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,...
LCPC
2005
Springer
14 years 2 months ago
Manipulating MAXLIVE for Spill-Free Register Allocation
Abstract. Many embedded systems use single-chip microcontrollers which have no on-chip RAM. In such a system, the processor registers must hold all live data values. Nanocontroller...
Shashi Deepa Arcot, Henry G. Dietz, Sarojini Priya...
BMCBI
2006
127views more  BMCBI 2006»
13 years 8 months ago
Automatic discovery of cross-family sequence features associated with protein function
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...
Markus Brameier, Josien Haan, Andrea Krings, Rober...
EAAI
2006
189views more  EAAI 2006»
13 years 8 months ago
Evolutionary algorithms for VLSI multi-objective netlist partitioning
The problem of partitioning appears in several areas ranging from VLSI, parallel programming, to molecular biology. The interest in finding an optimal partition especially in VLSI ...
Sadiq M. Sait, Aiman H. El-Maleh, Raslan H. Al-Aba...
EVOW
2007
Springer
14 years 13 days ago
Scale Invariance for Evolved Interest Operators
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...
Leonardo Trujillo, Gustavo Olague