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ICWS
2009
IEEE
13 years 7 months ago
A MapReduce-Enabled Scientific Workflow Composition Framework
MapReduce has recently gained a lot of attention as a parallel programming model for scalable data-intensive business and scientific analysis. In order to benefit from this powerf...
Xubo Fei, Shiyong Lu, Cui Lin
TII
2010
166views Education» more  TII 2010»
13 years 4 months ago
Source-to-Source Architecture Transformation for Performance Optimization in BIP
Behavior, Interaction, Priorities (BIP) is a component framework for constructing systems from a set of atomic components by using two kinds of composition operators: interactions ...
Marius Bozga, Mohamad Jaber, Joseph Sifakis
JMLR
2012
12 years 15 days ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
DCC
2005
IEEE
14 years 9 months ago
Towards Practical Minimum-Entropy Universal Decoding
Minimum-entropy decoding is a universal decoding algorithm used in decoding block compression of discrete memoryless sources as well as block transmission of information across di...
Todd P. Coleman, Muriel Médard, Michelle Ef...
IWMM
2009
Springer
130views Hardware» more  IWMM 2009»
14 years 4 months ago
A component model of spatial locality
Good spatial locality alleviates both the latency and bandwidth problem of memory by boosting the effect of prefetching and improving the utilization of cache. However, convention...
Xiaoming Gu, Ian Christopher, Tongxin Bai, Chengli...