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» Using Data Mining in MURA Graphic Problems
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137
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IJCAI
2007
15 years 4 months ago
A Subspace Kernel for Nonlinear Feature Extraction
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
Mingrui Wu, Jason D. R. Farquhar
AI
2001
Springer
15 years 8 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
112
Voted
SEMWEB
2010
Springer
15 years 1 months ago
Auto-experimentation of KDD Workflows Based on Ontological Planning
One of the problems of Knowledge Discovery in Databases (KDD) is the lack of user support for solving KDD problems. Current Data Mining (DM) systems enable the user to manually des...
Floarea Serban
110
Voted
SIGGRAPH
2010
ACM
15 years 7 months ago
Star-contours for efficient hierarchical self-collision detection
Collision detection is a problem that has often been addressed efficiently with the use of hierarchical culling data structures. In the subproblem of self-collision detection for ...
Sara C. Schvartzman, Álvaro G. Pérez, Miguel A. ...
109
Voted
VISUALIZATION
2003
IEEE
15 years 8 months ago
Visually Accurate Multi-Field Weather Visualization
Weather visualization is a difficult problem because it comprises volumetric multi-field data and traditional surface-based approaches obscure details of the complex three-dimen...
Kirk Riley, David S. Ebert, Charles D. Hansen, Jas...