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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
One of the many challenges in the automated detection of epileptic seizures is to draw a line of demarcation between seizure… 
Highly Cited
2011
Highly Cited
2011
In order to inspect solder joint defects of integrated circuit (IC) components on printed circuit boards (PCBs), an automatic… 
2011
2011
Problem statement: This study introduces a new method for speaker verification system by fusing two different feature extraction… 
Highly Cited
1998
Highly Cited
1998
The paper presents a knowledge-based method for automatic road extraction from aerial photography and high-resolution remotely… 
Highly Cited
1981
Highly Cited
1981
In the international search for the optimal image processing computer architecture, image parallelism is the key to cost… 
Highly Cited
1978