1880 search results - page 105 / 376 » Bayesian Clustering by Dynamics |
158
click to vote
IMCSIT
2010
14 years 11 months ago
2010
The paper presents a concept, implementation and real examples of dynamic parallelization of computations using services derived from MPI applications deployed in the BeesyCluster ...
156
click to vote
IROS
2009
IEEE
15 years 10 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
123
click to vote
CLEAR
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. This paper presents a visual particle filter for jointly tracking the position of a person and her head pose. The resulting information may be used to support automatic ...
149
click to vote
IJCAI
2007
15 years 5 months ago
2007
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
185
click to vote
KDD
2007
ACM
16 years 4 months ago
2007
ACM
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...