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ICDM
2008
IEEE
145views Data Mining» more  ICDM 2008»
15 years 10 months ago
Paired Learners for Concept Drift
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
Stephen H. Bach, Marcus A. Maloof
CLEF
2008
Springer
15 years 6 months ago
Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval
In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. First, in the Visual Concept D...
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tab...
169
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AOSD
2009
ACM
15 years 2 months ago
Concept analysis for product line requirements
Traditional methods characterize a software product line's requirements using either functional or quality criteria. This appears to be inadequate to assess modularity, detec...
Nan Niu, Steve M. Easterbrook
ICFCA
2010
Springer
15 years 10 months ago
Describing Role Models in Terms of Formal Concept Analysis
Abstract. In the past years Software Engineering has experienced several difficulties in modularising crosscutting aspects, like shared, dynamic or scattered behavior of object-ori...
Henri Mühle, Christian Wende
ICMCS
2007
IEEE
155views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Hidden Maximum Entropy Approach for Visual Concept Modeling
Recently, the bag-of-words approach has been successfully applied to automatic image annotation, object recognition, etc. The method needs to first quantize an image using the vis...
Sheng Gao, Joo-Hwee Lim, Qibin Sun