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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 4 days ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
MVA
2007
13 years 9 months ago
Semi-supervised Incremental Learning of Manipulative Tasks
For a social robot, the ability of learning tasks via human demonstration is very crucial. But most current approaches suffer from either the demanding of the huge amount of label...
Zhe Li, Sven Wachsmuth, Jannik Fritsch, Gerhard Sa...
HRI
2006
ACM
14 years 1 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
IROS
2007
IEEE
128views Robotics» more  IROS 2007»
14 years 1 months ago
Exploiting similarities for robot perception
— A cognitive robot system has to acquire and efficiently store vast knowledge about the world it operates in. To cope with every day tasks, a robot needs to learn, classify and...
Kai Welke, Erhan Oztop, Gordon Cheng, Rüdiger...
FGR
2011
IEEE
237views Biometrics» more  FGR 2011»
12 years 11 months ago
The motion in emotion - A CERT based approach to the FERA emotion challenge
—This paper assesses the performance of measures of facial expression dynamics derived from the Computer Expression Recognition Toolbox (CERT) for classifying emotions in the Fac...
Gwen Littlewort, Jacob Whitehill, Tingfan Wu, Nich...