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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.
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
2003
Highly Cited
2003
Some recent results on hyperspectral image classification
In this paper, we present a summary of our ongoing research on the classification of hyperspectral images. We are experimenting… 
Highly Cited
2002
Highly Cited
2002
Robust watermarking of fingerprint images
Highly Cited
1990
Highly Cited
1990
Automated design of linear tree classifiers
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
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