557 search results - page 18 / 112 » Goals and means in action observation: A computational appro... |
105
click to vote
COLT
2003
Springer
15 years 4 months ago
2003
Springer
We study on-line play of repeated matrix games in which the observations of past actions of the other player and the obtained reward are partial and stochastic. We define the Part...
ICMCS
2007
IEEE
15 years 6 months ago
2007
IEEE
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
ICIP
2007
IEEE
15 years 6 months ago
2007
IEEE
Action recognition is one of the most active research fields in computer vision. In this paper, we propose a novel method for classifying human actions in a series of image seque...
CAEPIA
2005
Springer
15 years 5 months ago
2005
Springer
Conformant planning is a variation of classical AI planning where the initial state is partially known and actions can have nondeterministic effects. While a classical plan must a...
ATAL
2008
Springer
15 years 1 months ago
2008
Springer
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...