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ICIP
2005
IEEE
14 years 9 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
PRL
2010
149views more  PRL 2010»
13 years 2 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
HRI
2010
ACM
13 years 9 months ago
The hesitation of a robot: a delay in its motion increases learning efficiency and impresses humans as teachable
If robots learn new actions through human-robot interaction, it is important that the robots can utilize rewards as well as instructions to reduce humans' efforts. Additionall...
Kazuaki Tanaka, Motoyuki Ozeki, Natsuki Oka
AAAI
2006
13 years 9 months ago
Learning Partially Observable Action Models: Efficient Algorithms
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
Dafna Shahaf, Allen Chang, Eyal Amir
COMMA
2008
13 years 9 months ago
Requirements for reflective argument visualization tools: A Case for Using Validity as a Normative Standard
This paper formulates in the first part some requirements for a certain sort of computational argumentation systems, namely those which are designed for a very specific purpose: to...
Michael H. G. Hoffmann