6 search results - page 1 / 2 » Conditional iterative decoding of Two Dimensional Hidden Mar... |
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
BMCBI
2010
13 years 5 months ago
2010
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
DATAMINE
2006
13 years 5 months ago
2006
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
BMCBI
2006
13 years 5 months ago
2006
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...