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» Approximation Algorithms for Spreading Points
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ICPR
2008
IEEE
14 years 10 months ago
Multiple view based 3D object classification using ensemble learning of local subspaces
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
Jianing Wu, Kazuhiro Fukui
VLDB
2004
ACM
127views Database» more  VLDB 2004»
14 years 9 months ago
Querying high-dimensional data in single-dimensional space
In this paper, we propose a new tunable index scheme, called iMinMax(), that maps points in highdimensional spaces to single-dimensional values determined by their maximum or minim...
Cui Yu, Stéphane Bressan, Beng Chin Ooi, Kian-Lee...
WSCG
2004
95views more  WSCG 2004»
13 years 10 months ago
Wave Height Forecasting Using Cascade Correlation Neural Network
Forecasting of wave height is necessary in a large number of ocean coastal activities. Recently, neural networks are used for prediction and approximation of wave heights in sea a...
Hamidreza Rashidy Kanan, Karim Faez
AIPS
2009
13 years 10 months ago
Navigation Planning in Probabilistic Roadmaps with Uncertainty
Probabilistic Roadmaps (PRM) are a commonly used class of algorithms for robot navigation tasks where obstacles are present in the environment. We examine the situation where the ...
Michael Kneebone, Richard Dearden
CGF
2008
122views more  CGF 2008»
13 years 8 months ago
Accurate Shadows by Depth Complexity Sampling
The accurate generation of soft shadows is a particularly computationally intensive task. In order to reduce rendering time, most real-time and offline applications decorrelate th...
Vincent Forest, Loïc Barthe, Mathias Paulin