552 search results - page 14 / 111 » Abstracting from Robot Sensor Data using Hidden Markov Model... |
BMCBI
2010
14 years 9 months ago
2010
Background: The Medium-chain Dehydrogenases/Reductases (MDR) form a protein superfamily whose size and complexity defeats traditional means of subclassification; it currently has ...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
BMCBI
2006
14 years 9 months ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
ISMB
1998
14 years 11 months ago
1998
A hidden Markov model of signal peptides has been developed. It contains submodels for the N-terminal part, the hydrophobic region, and the region around the cleavage site. For kn...
CVIU
2006
14 years 9 months ago
2006
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...