1319 search results - page 216 / 264 » Recursive Random Fields |
101
Voted
ICMCS
2007
IEEE
15 years 9 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...
138
Voted
IROS
2007
IEEE
15 years 9 months ago
2007
IEEE
— One primary goal in rescue robotics is to deploy a team of robots for coordinated victim search after a disaster. This requires robots to perform subtasks, such as victim detec...
122
Voted
ISCAS
2007
IEEE
15 years 9 months ago
2007
IEEE
—Two probabilistic-based models, namely the Ensemble-Dependent Matrix model [1][3] and the Markov Random Field model [2], have been proposed to deal with faults in nanoscale syst...
109
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
119
Voted
IBPRIA
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...