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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.
2012
2012
Software clones have been widely studied in the recent literature and shown useful for finding bugs because inconsistent changes… 
2012
2012
— The problem of voting is still critical in terms of safety and security. This paper deals with the design and development of a… 
2011
2011
Minutiae-based matching method is the most widely used fingerprint matching method and most minutiae matching algorithms employ… 
2007
2007
The device has a winding drum with thread guide and a rotatable disc having pins for successively moving yarn coils from the drum… 
2004
2004
The Intelligent Systems Division of the National Institute of Standards and Technology has been engaged for several years in… 
Highly Cited
2002
Highly Cited
2002
We frame the problem of object recognition from edge cues in terms of determining whether individual edge pixels belong to the… 
Highly Cited
1995
Highly Cited
1995
The purpose of this thesis is to investigate new morphological methods for extracting the characteristics of an image regions… 
1995
1995
This thesis develops and demonstrates an original approach to scale-space theory. A new scale-space theory based on a unified… 
1990
1990
It is shown that a binocular observer can recover the depth and three-dimensional motion of a rigid planar patch without using… 
1989
1989
The image-processing techniques required for an image-understanding system are considered. Although many of the image-processing…