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Feature extraction

Known as: Linear feature extraction 
In machine learning, pattern recognition and in image processing, feature extraction starts from an initial set of measured data and buildsderived… 
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Related topics

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Broader (1)

Feature detection (computer vision)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2012
Review
2012
Ear recognition based on local information fusion
Highly Cited
2011
Highly Cited
2011
Feature extraction and classification of EEG for automatic seizure detection
One of the many challenges in the automated detection of epileptic seizures is to draw a line of demarcation between seizure… 
2011
2011
A New Speaker Recognition System with Combined Feature Extraction Techniques
Problem statement: This study introduces a new method for speaker verification system by fusing two different feature extraction… 
Highly Cited
2008
Highly Cited
2008
Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines
Highly Cited
2005
Highly Cited
2005
Statistical modeling and conceptualization of natural images
Highly Cited
2003
Highly Cited
2003
Combined Fisherfaces framework
Highly Cited
1995
Highly Cited
1995
Extraction de caractéristiques, segmentation d'image et morphologie mathématique
The purpose of this thesis is to investigate new morphological methods for extracting the characteristics of an image regions… 
Highly Cited
1981
Highly Cited
1981
Computer Architectures for Pictorial Information Systems
In the international search for the optimal image processing computer architecture, image parallelism is the key to cost… 
Highly Cited
1978
Highly Cited
1978
The contour extraction problem with biomedical applications
Highly Cited
1969
Highly Cited
1969
Pictorial pattern recognition
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