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» Learning from Highly Structured Data by Decomposition
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AI
2008
Springer
15 years 4 months ago
Label ranking by learning pairwise preferences
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
Eyke Hüllermeier, Johannes Fürnkranz, We...
CVPR
2005
IEEE
16 years 6 months ago
Learning Spatiotemporal T-Junctions for Occlusion Detection
The goal of motion segmentation and layer extraction can be viewed as the detection and localization of occluding surfaces. A feature that has been shown to be a particularly stro...
Nicholas Apostoloff, Andrew W. Fitzgibbon
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don
ACL
2003
15 years 5 months ago
TotalRecall: A Bilingual Concordance for Computer Assisted Translation and Language Learning
This paper describes a Web-based English-Chinese concordance system, TotalRecall, developed to promote translation reuse and encourage authentic and idiomatic use in second langua...
Jian-Cheng Wu, Kevin C. Yeh, Thomas C. Chuang, Wen...
SIGMETRICS
2005
ACM
127views Hardware» more  SIGMETRICS 2005»
15 years 10 months ago
A data streaming algorithm for estimating subpopulation flow size distribution
Statistical information about the flow sizes in the traffic passing through a network link helps a network operator to characterize network resource usage, infer traffic demands,...
Abhishek Kumar, Minho Sung, Jun Xu, Ellen W. Zegur...