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» Using Data Mining in MURA Graphic Problems
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145
Voted
GIS
2009
ACM
15 years 7 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
ML
2006
ACM
15 years 3 months ago
XRules: An effective algorithm for structural classification of XML data
Abstract XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining ...
Mohammed Javeed Zaki, Charu C. Aggarwal
3DPVT
2006
IEEE
229views Visualization» more  3DPVT 2006»
15 years 7 months ago
Fast and Efficient Dense Variational Stereo on GPU
Thanks to their high performance and programmability, the latest graphics cards can now be used for scientific purpose. They are indeed very efficient parallel Single Instruction ...
Julien Mairal, Renaud Keriven, Alexandre Chariot
126
Voted
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 4 months ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
132
Voted
KDD
2007
ACM
141views Data Mining» more  KDD 2007»
16 years 4 months ago
Mining favorable facets
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...
Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, ...