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147
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JACM
2011
152views more  JACM 2011»
14 years 5 months ago
Robust principal component analysis?
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
Emmanuel J. Candès, Xiaodong Li, Yi Ma, Joh...
118
Voted
TASLP
2010
118views more  TASLP 2010»
15 years 27 days ago
Time-Frequency Sparsity by Removing Perceptually Irrelevant Components Using a Simple Model of Simultaneous Masking
Abstract—We present an algorithm for removing timefrequency components, found by a standard Gabor transform, of a “real-world” sound while causing no audible difference to th...
Péter Balázs, Bernhard Laback, Gerha...
ICSE
2011
IEEE-ACM
14 years 6 months ago
Predictable dynamic deployment of components in embedded systems
—Dynamic reconfiguration – the ability to hot swap a component, or to introduce a new component into the system – is essential to supporting evolutionary change in long-live ...
Ana Petricic
140
Voted
NN
2000
Springer
159views Neural Networks» more  NN 2000»
15 years 2 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
126
Voted
PC
2010
177views Management» more  PC 2010»
15 years 28 days ago
Parallel graph component labelling with GPUs and CUDA
Graph component labelling, which is a subset of the general graph colouring problem, is a computationally expensive operation that is of importance in many applications and simula...
Kenneth A. Hawick, Arno Leist, Daniel P. Playne