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PRL
2010
209views more  PRL 2010»
14 years 8 months ago
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
Jan Salmen, Marc Schlipsing, Christian Igel
QUESTA
2010
93views more  QUESTA 2010»
14 years 8 months ago
Towards an Erlang formula for multiclass networks
Consider a multiclass stochastic network with state dependent service rates and arrival rates describing bandwidth-sharing mechanisms as well as admission control and/or load bala...
Matthieu Jonckheere, Jean Mairesse
TASLP
2010
82views more  TASLP 2010»
14 years 8 months ago
Psychoacoustically Constrained and Distortion Minimized Speech Enhancement
Abstract--This paper considers a psychoacoustically constrained and distortion minimized speech enhancement algorithm. Noise reduction, in general, leads to speech distortion, and ...
Seokhwan Jo, Chang D. Yoo
138
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TSE
2010
132views more  TSE 2010»
14 years 8 months ago
ASCENT: An Algorithmic Technique for Designing Hardware and Software in Tandem
Search-based software engineering is an emerging paradigm that uses automated search algorithms to help designers iteratively find solutions to complicated design problems. For exa...
Jules White, Brian Doughtery, Douglas C. Schmidt
TSMC
2010
14 years 8 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris