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» On the granularity of summative kernels
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ICPR
2006
IEEE
14 years 9 months ago
Motion Dependent Spatiotemporal Smoothing for Noise Reduction in Very Dim Light Image Sequences
A new method for noise reduction using spatiotemporal smoothing is presented in this paper. The method is developed especially for reducing the noise that arises when acquiring vi...
Henrik Malm, Eric Warrant
SC
1995
ACM
14 years 2 days ago
A Parallel Incompressible Flow Solver Package with a Parallel Multigrid Elliptic Kernel
A parallel time-dependent incompressible flow solver and a parallel multigrid elliptic kernel are described. The flow solver is based on a second-order projection method applied...
John Z. Lou, Robert D. Ferraro
AAAI
2012
11 years 11 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
BMCBI
2010
140views more  BMCBI 2010»
13 years 8 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
HIPC
2007
Springer
14 years 2 months ago
FT64: Scientific Computing with Streams
This paper describes FT64 and Multi-FT64, single- and multi-coprocessor systems designed for high performance scientific computing with streams. We give a detailed case study of po...
Mei Wen, Nan Wu, Chunyuan Zhang, Wei Wu, Qianming ...