84 search results - page 3 / 17 » Utilizing Variational Optimization to Learn Markov Random Fi... |
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
ICRA
2009
IEEE
14 years 7 months ago
2009
IEEE
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
IDA
2009
Springer
15 years 4 months ago
2009
Springer
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
This paper presents Markov random fields (MRFs) to segment strokes of Chinese characters. The distortions caused by the thinning process make the thinning-based stroke segmentatio...