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IDEAL
2000
Springer
13 years 11 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
NORDSEC
2009
Springer
14 years 2 months ago
Facilitating the Adoption of Tor by Focusing on a Promising Target Group
The technology for anonymous communication has been thoroughly researched. But despite the existence of several protection services, a business model for anonymous web surfing has ...
Heiko Roßnagel, Jan Zibuschka, Lexi Pimenidi...
KDD
2007
ACM
211views Data Mining» more  KDD 2007»
14 years 8 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
ASE
2007
143views more  ASE 2007»
13 years 7 months ago
Composition inference for UML class diagrams
Knowing which associations are compositions is important in a tool for the reverse engineering of UML class diagrams. Firstly, recovery of composition relationships bridges the ga...
Ana Milanova
SMI
2008
IEEE
107views Image Analysis» more  SMI 2008»
14 years 2 months ago
Approximate topological matching of quadrilateral meshes
Abstract In this paper, we study the problem of approximate topological matching for quadrilateral meshes, that is, the problem of finding as large a set as possible of matching p...
David Eppstein, Michael T. Goodrich, Ethan Kim, Ra...