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ICCV
2005
IEEE
15 years 3 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
COLING
1996
14 years 11 months ago
Analysis of Japanese Compound Nouns by Direct Text Scanning
This paper aims to analyze word dependency structure in compound nouns appearing in Japanese newspaper articles. The analysis is a dil't:icult problem because such compound n...
Toru Hisamitsu, Yoshihiko Nitta
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 7 months ago
Single step evolution of robot controllers for sequential tasks
The generation of robot controllers for a task requiring a sequence of elementary behaviors is still a challenge. If these behaviors are known, intermediate steps can be given to ...
Stéphane Doncieux, Jean-Baptiste Mouret
ENGL
2006
170views more  ENGL 2006»
14 years 9 months ago
Hybrid Genetic Algorithms: A Review
Hybrid genetic algorithms have received significant interest in recent years and are being increasingly used to solve real-world problems. A genetic algorithm is able to incorporat...
Tarek A. El-Mihoub, Adrian A. Hopgood, Lars Nolle,...
SBIA
2004
Springer
15 years 3 months ago
Detecting Promising Areas by Evolutionary Clustering Search
A challenge in hybrid evolutionary algorithms is to define efficient strategies to cover all search space, applying local search only in actually promising search areas. This pape...
Alexandre César Muniz de Oliveira, Luiz Ant...