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» Learning to Generate Fast Signal Processing Implementations
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TASE
2008
IEEE
13 years 7 months ago
An Intelligent Online Monitoring and Diagnostic System for Manufacturing Automation
Condition monitoring and fault diagnosis in modern manufacturing automation is of great practical significance. It improves quality and productivity, and prevents damage to machine...
Ming Ge, Yangsheng Xu, Ruxu Du
ICASSP
2011
IEEE
12 years 11 months ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke
ICASSP
2008
IEEE
14 years 2 months ago
Fast speaker adaptation using non-negative matrix factorization
This paper describes a new method for fast speaker adaptation in large vocabulary recognition systems. As in most HMM-based recognizers, the observation densities are modeled as a...
Jacques Duchateau, Tobias Leroy, Kris Demuynck, Hu...
DATE
2007
IEEE
100views Hardware» more  DATE 2007»
14 years 1 months ago
Life begins at 65: unless you are mixed signal?
The old school of analog designers, exemplified by pioneer Bob Pease, is becoming an extinct species. But the demand for analog/mixed-signal IP blocks has never been greater, espe...
Reimund Wittmann, Massimo Vanzi, Hans-Joachim Wass...
ICVGIP
2008
13 years 9 months ago
Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application
As vision algorithms mature with increasing inspiration from the learning community, statistically independent pseudo random number generation (PRNG) becomes increasingly importan...
Andrew Janowczyk, Sharat Chandran, Srinivas Aluru