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ICW
2005
IEEE
130views Communications» more  ICW 2005»
13 years 11 months ago
A Finite-State Markov Chain Model for Statistical Loss Across a RED Queue
Abstract— In this paper, we present an analytical study targeted at statistically capturing the loss behavior of a RED queue. We utilize a finite-state Markov chain model. Start...
Mohit B. Singh, Homayoun Yousefi'zadeh, Hamid Jafa...
IJCAI
2003
13 years 7 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
EMMCVPR
2001
Springer
13 years 10 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
CIVR
2006
Springer
13 years 9 months ago
Hierarchical Hidden Markov Model for Rushes Structuring and Indexing
Rushes footage are considered as cheap gold mine with the potential for reuse in broadcasting and filmmaking industries. However, it is difficult to mine the "gold" from ...
Chong-Wah Ngo, Zailiang Pan, Xiao-Yong Wei
BMCBI
2006
150views more  BMCBI 2006»
13 years 5 months ago
Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
Alla Bulashevska, Roland Eils