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» Fast Distributed Algorithms for Computing Separable Function...
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ICPPW
2009
IEEE
14 years 26 days ago
Fast Autotuning Configurations of Parameters in Distributed Computing Systems Using Ordinal Optimization
Conventional autotuning configuration of parameters in distributed computing systems using evolutionary strategies increases integrated performance notably, though at the expense ...
Fan Zhang, Junwei Cao, Lianchen Liu, Cheng Wu
ICA
2004
Springer
13 years 11 months ago
Accurate, Fast and Stable Denoising Source Separation Algorithms
Abstract. Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here. ...
Harri Valpola, Jaakko Särelä
ICA
2007
Springer
14 years 11 days ago
A Robust Complex FastICA Algorithm Using the Huber M-Estimator Cost Function
In this paper, we propose to use the Huber M-estimator cost function as a contrast function within the complex FastICA algorithm of Bingham and Hyvarinen for the blind separation o...
Jih-Cheng Chao, Scott C. Douglas
EUROPAR
2009
Springer
13 years 11 months ago
Distributed Data Partitioning for Heterogeneous Processors Based on Partial Estimation of Their Functional Performance Models
The paper presents a new data partitioning algorithm for parallel computing on heterogeneous processors. Like traditional functional partitioning algorithms, the algorithm assumes ...
Alexey L. Lastovetsky, Ravi Reddy
RT
1999
Springer
13 years 10 months ago
Interactive Rendering with Arbitrary BRDFs using Separable Approximations
A separable decomposition of bidirectional reflectance distributions (BRDFs) is used to implement arbitrary reflectances from point sources on existing graphics hardware. Two-dim...
Jan Kautz, Michael D. McCool