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» Modeling and simulation of retrieving process
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93
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APPINF
2003
15 years 2 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
FLAIRS
1998
15 years 2 months ago
Decision Support Information Gathering System
1 The Decision Support Information Gathering System, Digs, uses influence diagrams to model user's decisions and to calculate the value of imperfect information for each avail...
Chiu-Che Tseng, Piotr J. Gmytrasiewicz
117
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Adaptation of source-specific dictionaries in Non-Negative Matrix Factorization for source separation
This paper concerns the adaptation of spectrum dictionaries in audio source separation with supervised learning. Supposing that samples of the audio sources to separate are availa...
Xabier Jaureguiberry, Pierre Leveau, Simon Maller,...
47
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Joint Bayesian positioning and multipath mitigation in GNSS
A sequential Bayesian estimation algorithm for joint positioning and multipath mitigation within satellite navigation receivers is presented. The underlying process model is espec...
Bernhard Krach, Michael Lentmaier, Patrick Roberts...
95
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WSC
2008
15 years 3 months ago
Automated generation and parameterization of throughput models for semiconductor tools
Cluster tools play an important role in modern semiconductor fabs. Due to their complexity in configuration and their varying material flow, the creation of accurate throughput mo...
Jan Lange, Kilian Schmidt, Roy Borner, Oliver Rose