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ECML
2007
Springer
15 years 6 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
SIGGRAPH
1996
ACM
15 years 4 months ago
Automatic Reconstruction of B-Spline Surfaces of Arbitrary Topological Type
Creating freeform surfaces is a challenging task even with advanced geometric modeling systems. Laser range scanners offer a promising alternative for model acquisition--the 3D sc...
Matthias Eck, Hugues Hoppe
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 7 days ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
15 years 6 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
PAKDD
1999
ACM
124views Data Mining» more  PAKDD 1999»
15 years 4 months ago
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
Empirical equations are an important class of regularities that can be discovered in databases. In this paper we concentrate on the role of equations as de nitions of attribute val...
Zbigniew W. Ras, Jan M. Zytkow