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» Automatic Hidden Web Database Classification
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IFIP12
2004
13 years 8 months ago
Impact on Performance of Hypertext Classification of Selective Rich HTML Capture
: Hypertext categorization is the automatic classification of web documents into predefined classes. It poses new challenges for automatic categorization because of the rich inform...
Houda Benbrahim, Max Bramer
CIKM
2009
Springer
14 years 3 days ago
An empirical study on using hidden markov model for search interface segmentation
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Ritu Khare, Yuan An
NAR
2000
111views more  NAR 2000»
13 years 7 months ago
ProtoMap: automatic classification of protein sequences and hierarchy of protein families
The ProtoMap site offers an exhaustive classification of all proteins in the SWISS-PROT database, into groups of related proteins. The classification is based on analysis of all p...
Golan Yona, Nathan Linial, Michal Linial
JEI
2002
107views more  JEI 2002»
13 years 7 months ago
Classifying images on the web automatically
Numerous research works about the extraction of low-level features from images and videos have been published. However, only recently the focus has shifted to exploiting low-level...
Rainer Lienhart, Alexander Hartmann
BMCBI
2010
105views more  BMCBI 2010»
13 years 7 months ago
Subdivision of the MDR superfamily of medium-chain dehydrogenases/reductases through iterative hidden Markov model refinement
Background: The Medium-chain Dehydrogenases/Reductases (MDR) form a protein superfamily whose size and complexity defeats traditional means of subclassification; it currently has ...
Joel Hedlund, Hans Jörnvall, Bengt Persson