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ICIP
2004
IEEE
16 years 8 months ago
Automatically learning structural units in educational videos with the hierarchical hidden markov models
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...
Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
ICPR
2004
IEEE
16 years 8 months ago
Estimating Surface Shape and Extending Known Structure using Specular Reflections
In this paper a method for shape estimation and structure extension of a surface using information from specularities is proposed. The structure of the scene is obtained from an i...
Anders Heyden, Jan Erik Solem
WWW
2006
ACM
16 years 7 months ago
Evaluating structural summaries as access methods for XML
Structural summaries are data structures that preserve all structural features of XML documents in a compact form. We investigate the applicability of the most popular summaries a...
Mirella Moura Moro, Zografoula Vagena, Vassilis J....
CEC
2005
IEEE
16 years 14 days ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...
ITRE
2005
IEEE
16 years 12 days ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song