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» Parallelizing Feature Selection
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122
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MODELS
2009
Springer
15 years 10 months ago
Dead or Alive: finding zombie features in the Linux kernel
Variability management in operating systems is an errorprone and tedious task. This is especially true for the Linux operating system, which provides a specialized tool called Kco...
Reinhard Tartler, Julio Sincero, Wolfgang Schr&oum...
147
Voted
ICRA
2008
IEEE
185views Robotics» more  ICRA 2008»
15 years 10 months ago
Human detection using multimodal and multidimensional features
— This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
Luciano Spinello, Roland Siegwart
121
Voted
ICRA
2006
IEEE
103views Robotics» more  ICRA 2006»
15 years 9 months ago
Synthesizing Dance Performance using Musical and Motion Features
— This paper proposes a method for synthesizing dance performance synchronized to played music and our method presents a system that imitates dancers’ skills in performing thei...
Takaaki Shiratori, Atsushi Nakazawa, Katsushi Ikeu...
145
Voted
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
15 years 9 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
165
Voted
ACSC
2003
IEEE
15 years 9 months ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...