84 search results - page 4 / 17 » Utilizing Variational Optimization to Learn Markov Random Fi... |
JMLR
2008
14 years 9 months ago
2008
Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
ICDAR
2009
IEEE
14 years 7 months ago
2009
IEEE
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the...
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Much research effort on Automatic Image Annotation
(AIA) has been focused on Generative Model, due to its
well formed theory and competitive performance as compared
with many we...
PAMI
2006
14 years 9 months ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...