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» On the initialization of the DNMF algorithm
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JPDC
2007
95views more  JPDC 2007»
15 years 4 months ago
Self-stabilizing algorithm for checkpointing in a distributed system
If the variables used for a checkpointing algorithm have data faults, the existing checkpointing and recovery algorithms may fail. In this paper, self-stabilizing data fault detec...
Partha Sarathi Mandal, Krishnendu Mukhopadhyaya
NIPS
2007
15 years 5 months ago
On higher-order perceptron algorithms
A new algorithm for on-line learning linear-threshold functions is proposed which efficiently combines second-order statistics about the data with the ”logarithmic behavior” ...
Claudio Gentile, Fabio Vitale, Cristian Brotto
ICASSP
2008
IEEE
15 years 11 months ago
Avoiding divergence in the constant modulus algorithm
One of the most popular algorithms for blind equalization is the Constant Modulus Algorithm (CMA), due to its simplicity and low computational cost. However, if the step-size is n...
Maria D. Miranda, M. T. M. Silva, Vitor H. Nascime...
AAAI
1997
15 years 5 months ago
Worst-Case Absolute Loss Bounds for Linear Learning Algorithms
The absolute loss is the absolute difference between the desired and predicted outcome. I demonstrateworst-case upper bounds on the absolute loss for the perceptron algorithm and ...
Tom Bylander
ICCV
2009
IEEE
15 years 2 months ago
An algorithm for minimizing the Mumford-Shah functional
In this work we revisit the Mumford-Shah functional, one of the most studied variational approaches to image segmentation. The contribution of this paper is to propose an algorith...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...