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» Learning for Sequence Extraction Tasks
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ICDM
2003
IEEE
225views Data Mining» more  ICDM 2003»
14 years 2 months ago
Combining the web content and usage mining to understand the visitor behavior in a web site
A web site is a semi structured collection of different kinds of data, whose motivation is show relevant information to visitor and by this way capture her/his attention. Understa...
Juan D. Velásquez, Hiroshi Yasuda, Terumasa...
ISMB
1996
13 years 10 months ago
GeneFisher-Software Support for the Detection of Postulated Genes
Whena family of genes from closely related organisms is known,there is a certain chance to extract the corresponding gene from the genomeof another related organism. This can be d...
Robert Giegerich, Folker Meyer, Chris Schleiermach...
IPM
2008
75views more  IPM 2008»
13 years 9 months ago
Single-document and multi-document summarization techniques for email threads using sentence compression
We present two approaches to email thread summarization: Collective Message Summarization (CMS) applies a multi-document summarization approach, while Individual Message Summariza...
David M. Zajic, Bonnie J. Dorr, Jimmy J. Lin
PRL
2006
117views more  PRL 2006»
13 years 8 months ago
Motion features to enhance scene segmentation in active visual attention
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...
María T. López, Antonio Ferná...
ICASSP
2011
IEEE
13 years 18 days ago
Towards robust word discovery by self-similarity matrix comparison
Word discovery is the task of discovering and collecting occurrences of repeating words in the absence of prior acoustic and linguistic knowledge, or training material. The capabi...
Armando Muscariello, Guillaume Gravier, Fré...