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SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
15 years 3 months 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...
VISUAL
1999
Springer
15 years 2 months ago
Genetic Algorithm for Weights Assignment in Dissimilarity Function for Trademark Retrieval
Abstract. Trademark image retrieval is becoming an important application for logo registry, veri cation, and design. There are two major problems about the current approaches to tr...
David Yuk-Ming Chan, Irwin King
AI
1998
Springer
15 years 2 months ago
Test-Driving TANKA: Evaluating a Semi-automatic System of Text Analysis for Knowledge Acquisition
The evaluation of a large implemented natural language processing system involves more than its application to a common performance task. Such tasks have been used in the message u...
Ken Barker, Sylvain Delisle, Stan Szpakowicz
CC
2006
Springer
124views System Software» more  CC 2006»
15 years 1 months ago
Hybrid Optimizations: Which Optimization Algorithm to Use?
We introduce a new class of compiler heuristics: hybrid optimizations. Hybrid optimizations choose dynamically at compile time which optimization algorithm to apply from a set of d...
John Cavazos, J. Eliot B. Moss, Michael F. P. O'Bo...
ECML
2006
Springer
15 years 1 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi