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» Approximate algorithms for neural-Bayesian approaches
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WSCG
2003
177views more  WSCG 2003»
14 years 11 months ago
Efficient NURBS Rendering using View-Dependent LOD and Normal Maps
Rendering large trimmed NURBS models with high quality at interactive frame rates is of great interest for industry, since nearly all their models are designed on the basis of thi...
Michael Guthe, Reinhard Klein
IJCV
2007
146views more  IJCV 2007»
14 years 10 months ago
Image-Based Modeling by Joint Segmentation
The paper first traces the image-based modeling back to feature tracking and factorization that have been developed in the group led by Kanade since the eighties. Both feature tra...
Long Quan, Jingdong Wang, Ping Tan, Lu Yuan
AI
2005
Springer
14 years 10 months ago
Adopt: asynchronous distributed constraint optimization with quality guarantees
The Distributed Constraint Optimization Problem (DCOP) is able to model a wide variety of distributed reasoning tasks that arise in multiagent systems. Unfortunately, existing met...
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Mak...
JIPS
2010
154views more  JIPS 2010»
14 years 4 months ago
Mining Spatio-Temporal Patterns in Trajectory Data
Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approac...
Juyoung Kang 0002, Hwan-Seung Yong
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
14 years 11 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou