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» On Kernel Methods for Relational Learning
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ECCV
2006
Springer
15 years 2 days ago
A Tuned Eigenspace Technique for Articulated Motion Recognition
In this paper, we introduce a tuned eigenspace technique so as to classify human motion. The method presented here overcomes those problems related to articulated motion and dress...
M. Masudur Rahman, Antonio Robles-Kelly
IROS
2007
IEEE
164views Robotics» more  IROS 2007»
14 years 4 months ago
Emulation and behavior understanding through shared values
— Neurophysiology has revealed the existence of mirror neurons in brain of macaque monkeys and they shows similar activities during executing an observation of goal directed move...
Yasutake Takahashi, Teruyasu Kawamata, Minoru Asad...
NIPS
2001
13 years 11 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
IVC
2008
182views more  IVC 2008»
13 years 10 months ago
Ontology based complex object recognition
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
Nicolas Maillot, Monique Thonnat
BMCBI
2006
166views more  BMCBI 2006»
13 years 10 months ago
Extraction of phylogenetic network modules from the metabolic network
Background: In bio-systems, genes, proteins and compounds are related to each other, thus forming complex networks. Although each organism has its individual network, some organis...
Takuji Yamada, Minoru Kanehisa, Susumu Goto