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AIIA
2001
Springer
13 years 11 months ago
A New Machine Learning Approach to Fingerprint Classification
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are traine...
Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil...
ANNPR
2008
Springer
13 years 9 months ago
Feature Ranking Ensembles for Facial Action Unit Classification
Recursive Feature Elimination RFE combined with feature-ranking is an effective technique for eliminating irrelevant features. In this paper, an ensemble of MLP base classifiers wi...
Terry Windeatt, Kaushala Dias
BMCBI
2008
123views more  BMCBI 2008»
13 years 7 months ago
Validation of protein models by a neural network approach
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...
ICANN
2010
Springer
13 years 5 months ago
The Support Feature Machine for Classifying with the Least Number of Features
We propose the so-called Support Feature Machine (SFM) as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separating hyperplan...
Sascha Klement, Thomas Martinetz
ICC
2009
IEEE
182views Communications» more  ICC 2009»
14 years 2 months ago
Content Clustering Based Video Quality Prediction Model for MPEG4 Video Streaming over Wireless Networks
— The aim of this paper is quality prediction for streaming MPEG4 video sequences over wireless networks for all video content types. Video content has an impact on video quality...
Asiya Khan, Lingfen Sun, Emmanuel C. Ifeachor