Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Learning to recognize pedestrian attributes at far distance is a challenging problem in visual surveillance since face and body… 
2006
2006
We present an implemented machine learning system for the automatic detection of nonreferential it in spoken dialog. The system… 
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… 
Review
1997
Review
1997
Introduction The Nature and Pharmacology of Alcohol Speech Production and Speech Acoustics Research Methodology Research Review I… 
1996
1996
This paper presents a global scheme for 3D face reconstruction and face segmentation into a limited number of analytical patches… 
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… 
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… 
Highly Cited
1971
Highly Cited
1971
Golay hexagonal pattern transforms are position independent local operators for use in transforming or altering binary images…