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IADIS
2003
13 years 9 months ago
Building Semantic-Rich Patterns for Extracting Features from Events of an On-Line Newspaper
To extract features from an event in an on-line newspaper, two major steps are involved: Extracting the free formatted events’ announcements from the web sites and (b) extractin...
Ray R. Hashemi, Charles Ford, Ashish Bansal, Steph...
ECCV
2004
Springer
14 years 10 months ago
A Constrained Semi-supervised Learning Approach to Data Association
Data association (obtaining correspondences) is a ubiquitous problem in computer vision. It appears when matching image features across multiple images, matching image features to ...
Hendrik Kück, Nando de Freitas, Peter Carbone...
FLAIRS
2008
13 years 10 months ago
Analyzing Dialog Coherence Using Transition Patterns in Lexical and Semantic Features
In this paper, we present methods to analyze dialog coherence that help us to automatically distinguish between coherent and incoherent conversations. We build a machine learning ...
Amruta Purandare, Diane J. Litman
KBSE
2010
IEEE
13 years 6 months ago
Variability modeling in the real: a perspective from the operating systems domain
Variability models represent the common and variable features of products in a product line. Several variability modeling languages have been proposed in academia and industry; ho...
Thorsten Berger, Steven She, Rafael Lotufo, Andrze...
JITECH
2010
160views more  JITECH 2010»
13 years 2 months ago
Social software for business process modeling
Formal models of business processes are used for a variety of purposes. But where the elicitation of the characteristics of a business process usually takes place in a collaborati...
Agnes Koschmider, Minseok Song, Hajo A. Reijers