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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.
Review
2013
Review
2013
— User verification systems that use a single biometric indicator often have to contend with noisy sensor data, restricted degree… 
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… 
2006
2006
  • Liang WangD. Suter
  • 2006
  • Corpus ID: 1120094
A novel method for learning and recognizing sequential image data is proposed, and promising applications to vision-based human… 
2004
2004
The Intelligent Systems Division of the National Institute of Standards and Technology has been engaged for several years in… 
2003
2003
We have used a general purpose data mining tool to determine whether we can find any 'golden nuggets' in the web access logs of a… 
1994
1994
A knowledge-based, hierarchical, unsupervised classification scheme for high-resolution multispectral satellite (HRMS) images is… 
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…