6 search results - page 1 / 2 » Markov Random Field Modelling of Royal Road Genetic Algorith... |
AE
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Previous work investigating the performance of genetic algorithms (GAs) has attempted to develop a set of fitness landscapes, called “Royal Roads” functions, which should be id...
ICDAR
2011
IEEE
12 years 4 months ago
2011
IEEE
—In this paper, we propose a novel method for extracting handwritten characters from multi-language document images, which may contain various types of characters, e.g. Chinese, ...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
IROS
2007
IEEE
13 years 11 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...