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NC
2006
132views Neural Networks» more  NC 2006»
15 years 6 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
SRDS
2010
IEEE
15 years 4 months ago
A Cooperative Sampling Approach to Discovering Optimal Configurations in Large Scale Computing Systems
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the...
Haifeng Chen, Guofei Jiang, Hui Zhang 0002, Kenji ...
CLEIEJ
2010
15 years 3 months ago
Hybrid Rugosity Mesostructures (HRMs) for fast and accurate rendering of fine haptic detail
The haptic rendering of surface mesostructure (fine relief features) in dense triangle meshes requires special structures, equipment, and high sampling rates for detailed perceptio...
Víctor Theoktisto, Marta Fairén Gonz...
COMGEO
2012
ACM
14 years 2 months ago
Routing multi-class traffic flows in the plane
We study a class of multi-commodity flow problems in geometric domains: For a given planar domain P populated with obstacles (holes) of K ≥ 2 types, compute a set of thick path...
Joondong Kim, Joseph S. B. Mitchell, Valentin Poli...
SIGGRAPH
1993
ACM
15 years 10 months ago
Radioptimization: goal based rendering
This paper presents a method for designing the illumination in an environment using optimization techniques applied to a radiosity based image synthesis system. An optimization of...
John K. Kawai, James S. Painter, Michael F. Cohen