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JMLR
2012
11 years 11 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
ICML
1996
IEEE
14 years 10 months ago
Learning Goal Oriented Bayesian Networks for Telecommunications Risk Management
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Kazuo J. Ezawa, Moninder Singh, Steven W. Norton
DOLAP
2006
ACM
14 years 3 months ago
Designing ETL processes using semantic web technologies
One of the most important tasks performed in the early stages of a data warehouse project is the analysis of the structure and content of the existing data sources and their inten...
Dimitrios Skoutas, Alkis Simitsis
SMI
2003
IEEE
223views Image Analysis» more  SMI 2003»
14 years 2 months ago
Skeleton Extraction of 3D Objects with Radial Basis Functions
Skeleton is a lower dimensional shape description of an object. The requirements of a skeleton differ with applications. For example, object recognition requires skeletons with pr...
Wan-Chun Ma, Fu-Che Wu, Ming Ouhyoung
ICSE
2008
IEEE-ACM
14 years 10 months ago
Clone detection in automotive model-based development
Model-based development is becoming an increasingly common development methodology. In important domains like embedded systems already major parts of the code are generated from m...
Benjamin Hummel, Bernhard Schätz, Elmar J&uum...