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SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 9 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
CVPR
2007
IEEE
14 years 10 months ago
Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation
In this paper, we propose a robust and efficient Lagrangian approach, which we call Delaunay Deformable Models, for modeling moving surfaces undergoing large deformations and topo...
Jean-Philippe Pons, Jean-Daniel Boissonnat
DATE
2008
IEEE
112views Hardware» more  DATE 2008»
14 years 2 months ago
Adaptive Simulation for Single-Electron Devices
Single-electron devices have drawn much attention in the last two decades. They have been widely used for device research and also show promise as a potential alternative to compl...
Nicholas Allec, Robert G. Knobel, Li Shang
ICMCS
2007
IEEE
103views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Multimedia Adaptive Computer based Testing: An Overview
Instead of computer games, animations, cartoons, and videos being used only for entertainment by kids, there is now an interest in using multimedia for “innovative testing.” R...
Anup Basu, Irene Cheng, Mun Prasad, Gautam Rao
AMAI
2006
Springer
13 years 8 months ago
A split-combination approach to merging knowledge bases in possibilistic logic
In this paper, we propose an adaptive approach to merging possibilistic knowledge bases that deploys multiple operators instead of a single operator in the merging process. The me...
Guilin Qi, Weiru Liu, David H. Glass, David A. Bel...