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» Challenges from Information Extraction to Information Fusion
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ICIP
2002
IEEE
16 years 8 months ago
Nonparametric methods for image segmentation using information theory and curve evolution
In this paper, we present a novel information theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the ...
Alan S. Willsky, Anthony J. Yezzi Jr., John W. Fis...
CSE
2009
IEEE
15 years 10 months ago
Information Technology Capabilities for Digital Social Networks
This paper contributes to the evolving body of knowledge pertaining to the study of digitally-enabled social networks, their usage, and their effects on people, organization, and s...
Camille Grange, Izak Benbasat
SEMWEB
2009
Springer
16 years 1 months ago
Context and Domain Knowledge Enhanced Entity Spotting in Informal Text
This paper explores the application of restricted relationship graphs (RDF) and statistical NLP techniques to improve named entity annotation in challenging Informal English domain...
Daniel Gruhl, Meenakshi Nagarajan, Jan Pieper, Chr...
ACL
2008
15 years 8 months ago
Kernels on Linguistic Structures for Answer Extraction
Natural Language Processing (NLP) for Information Retrieval has always been an interesting and challenging research area. Despite the high expectations, most of the results indica...
Alessandro Moschitti, Silvia Quarteroni
JCM
2006
118views more  JCM 2006»
15 years 6 months ago
Joint Optimization of Local and Fusion Rules in a Decentralized Sensor Network
Decentralized sensor networks are collections of individual local sensors that observe a common phenomenon, quantize their observations, and send this quantized information to a ce...
Nithya Gnanapandithan, Balasubramaniam Natarajan