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LSSC
2001
Springer
15 years 1 months ago
On the Parallelization of the Sparse Grid Approach for Data Mining
Abstract. Recently we presented a new approach [5, 6] to the classification problem arising in data mining. It is based on the regularization network approach, but in contrast to ...
Jochen Garcke, Michael Griebel
CGF
2008
124views more  CGF 2008»
14 years 9 months ago
Fast Soft Self-Shadowing on Dynamic Height Fields
We present a new, real-time method for rendering soft shadows from large light sources or lighting environments on dynamic height fields. The method first computes a horizon map f...
John Snyder, Derek Nowrouzezahrai
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
15 years 9 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
BMCBI
2010
89views more  BMCBI 2010»
14 years 9 months ago
Predictors of natively unfolded proteins: unanimous consensus score to detect a twilight zone between order and disorder in gene
Background: Natively unfolded proteins lack a well defined three dimensional structure but have important biological functions, suggesting a re-assignment of the structure-functio...
Antonio Deiana, Andrea Giansanti
ECCV
2006
Springer
15 years 11 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang