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» Learning to Construct Fast Signal Processing Implementations
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ICASSP
2010
IEEE
14 years 9 months ago
Efficient online learning with individual learning-rates for phoneme sequence recognition
We describe a fast and efficient online algorithm for phoneme sequence speech recognition. Our method is using a discriminative training to update the model parameters one utteran...
Koby Crammer
TASE
2008
IEEE
14 years 11 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
IPPS
2006
IEEE
15 years 5 months ago
Parallel implementation of a quartet-based algorithm for phylogenetic analysis
This paper describes a parallel implementation of our recently developed algorithm for phylogenetic analysis on the IBM BlueGene/L cluster [15]. This algorithm constructs evolutio...
Bing Bing Zhou, Daniel Chu, Monther Tarawneh, Ping...
ICASSP
2008
IEEE
15 years 6 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...
CODES
2000
IEEE
15 years 4 months ago
Fast performance prediction for periodic task systems
During design exploration, many implementations of the same system specification may need to be evaluated. In this paper, we present an approach to construct sufficient and nece...
Xiaobo Sharon Hu, Gang Quan