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SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
14 years 20 days ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 25 days ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
GROUP
2005
ACM
14 years 1 months ago
Proactive support for the organization of shared workspaces using activity patterns and content analysis
Shared workspace systems provide virtual places for selforganized and semi-structured cooperation between local and distributed team members. These cooperation systems have been a...
Wolfgang Prinz, Baber Zaman
KCAP
2005
ACM
14 years 1 months ago
Knowledge base reuse through constraint relaxation
Effective reuse of Knowledge Bases (KBs) often entails the expensive task of identifying plausible KB-PS (Problem Solver) combinations. We propose a novel technique based on Const...
Tomas Eric Nordlander, Derek H. Sleeman, Ken N. Br...
ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 7 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....