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Fast model predictive control using online optimization
Model predictive control application offline calculation network controller
2015/8/7
A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slow dynamics, where the sample time is measured in seconds or minutes. A wel...
Accurate,fast and stable denoising source separation algorithms
denoising source separation DSS independent component analysis ICA blind source separation BSS FastICA stability
2015/7/30
Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here. First, a new scheme for accele...
Fast&Confident Probabilistic Categorization
Text categorization probabilistic model confidence estimation multi-label categorization category description
2015/7/29
We describe NRC's submission to the Anomaly Detection/Text Mining competition organised at the Text Mining Workshop 2007. This submission relies on a straightforward implementation of the probabilisti...
Fast multi-scale edge-detection in medical ultrasound signals
Fast multi-scale edge-detection medical ultrasound signals
2011/8/18
Abstract: In this article we suggest a fast multi-scale edge-detection scheme for medical ultrasound signals. The edge-detector is based on well-known properties of the continuous wavelet trans- form....
Rule Markov Models for Fast Tree-to-String Translation
Rule Markov Models Fast Tree-to-String Translation
2013/4/22
Most statistical machine translation systems rely on composed rules (rules that can be formed out of smaller rules in the grammar).Though this practice improves translation by weakening independence a...
Fast Translation Rule Matching for Syntax-based Statistical Machine Translation
Fast Translation Rule Matching Syntax-based Statistical Machine Translation
2013/4/22
Fast Translation Rule Matching for Syntax-based Statistical Machine Translation。
Fast Normalized Neural Processors for Pattern Detection Based on Cross Correlation Implemented in the Frequency Domain
Fast Pattern Detection Neural Networks Cross Correlation Image Normalization
2014/3/12
Neural networks have shown good results for detecting a certain pattern in a given image. In this paper, fast neural networks for pattern detection are presented. Such neural processors are designed b...