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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

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2006
2006
We present an implemented machine learning system for the automatic detection of nonreferential it in spoken dialog. The system… 
Highly Cited
2005
Highly Cited
2005
We develop the notion of normalized information distance (NID) [7] into a kernel distance suitable for use with a Support Vector… 
Highly Cited
2004
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… 
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
2000
Highly Cited
2000
In this extended abstract, our work on the representation, indexing and retrieval of music data is summarized. We treat the… 
Highly Cited
1997
Highly Cited
1997
Retrieving images from very large collections using image content as a key is becoming an important problem. Classifying images… 
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… 
Highly Cited
1971
Highly Cited
1971
Golay hexagonal pattern transforms are position independent local operators for use in transforming or altering binary images…