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… (More)
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Topic mentions per year

Topic mentions per year

1963-2018
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Papers overview

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Highly Cited
2011
Highly Cited
2011
We present in this paper a novel approach for training deterministic auto-encoders. We show that by adding a well chosen penalty… (More)
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Highly Cited
2010
Highly Cited
2010
We introduce the openSMILE feature extraction toolkit, which unites feature extraction algorithms from the speech processing and… (More)
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Highly Cited
2005
Highly Cited
2005
Today, many private households as well as broadcasting or film companies own large collections of digital music plays. These are… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper, a new nonparametric feature extraction method is proposed for high-dimensional multiclass pattern recognition… (More)
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Highly Cited
2003
Highly Cited
2003
In pattern recognition, feature extraction techniques are widely employed to reduce the dimensionality of data and to enhance the… (More)
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Highly Cited
2001
Highly Cited
2001
ÆStefan Gumhold, Xinlong Wang & Rob Ma Leod ÆWSI/GRIS University of Tubingen stefan gumhold. om S ienti Computing and Imaging… (More)
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Highly Cited
2000
Highly Cited
2000
Hidden Markov model speech recognition systems typically use Gaussian mixture models to estimate the distributions of… (More)
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Highly Cited
1995
Highly Cited
1995
Classical feature extraction and data projection methods have been well studied in the pattern recognition and exploratory data… (More)
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Highly Cited
1993
Highly Cited
1993
This material is posted here with permission of the IEEE. Internal or personal use of this material is permitted. However… (More)
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Highly Cited
1989
Highly Cited
1989
We propose a method for detecting and describing features of faces using deformable templates. The feature of interest, an eye… (More)
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