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» Feature Subset Selection Using a Genetic Algorithm
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ICPR
2004
IEEE
16 years 3 months ago
An Efficient Automatic Redeye Detection and Correction Algorithm
A fully automatic redeye detection and correction algorithm is presented to address the redeye artifacts in digital photos. The algorithm contains a redeye detection part and a co...
Dan Tretter, Huitao Luo, Jonathan Yen
181
Voted
TSMC
2008
225views more  TSMC 2008»
15 years 2 months ago
Robust Methods for Geometric Primitive Recovery and Estimation From Range Images
We present a method for the recovery of partially occluded 3D geometric primitives from range images which might also include non-primitive objects. The method uses a technique for...
Irina Lavva, Eyal Hameiri, Ilan Shimshoni
145
Voted
BMCBI
2011
14 years 9 months ago
SNPPicker: High quality tag SNP selection across multiple populations
Background: Linkage Disequilibrium (LD) bin-tagging algorithms identify a reduced set of tag SNPs that can capture the genetic variation in a population without genotyping every s...
Hugues Sicotte, David N. Rider, Gregory A. Poland,...
126
Voted
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
15 years 6 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
147
Voted
ICSM
2005
IEEE
15 years 8 months ago
A Safe Regression Test Selection Technique for Database-Driven Applications
Regression testing is a widely-used method for checking whether modifications to software systems have adversely affected the overall functionality. This is potentially an expens...
David Willmor, Suzanne M. Embury