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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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Highly Cited
2016
Highly Cited
2016
Due to the advantages of deep learning, in this paper, a regularized deep feature extraction (FE) method is presented for… 
Highly Cited
2013
Highly Cited
2013
Feature Extraction is a method of capturing visual content of images for indexing & retrieval. Primitive or low level image… 
Highly Cited
2011
Highly Cited
2011
We present a novel convolutional auto-encoder (CAE) for unsupervised feature learning. A stack of CAEs forms a convolutional… 
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… 
Review
2008
Review
2008
"A picture is worth one thousand words". This proverb comes from Confucius a Chinese philosopher before about 2500 years ago. Now… 
Review
2006
Review
2006
This chapter introduces the reader to the various aspects of feature extraction covered in this book. Section 1 reviews… 
Highly Cited
1999
Highly Cited
1999
Condition monitoring of dynamic systems based on vibration signatures has generally relied upon Fourier based analysis as a means… 
Highly Cited
1998
Highly Cited
1998
From the Publisher: The book can be used by researchers and graduate students in machine learning, data mining, and knowledge… 
Highly Cited
1993
Highly Cited
1993
Interactive image processing techniques, along with a linear-programming-based inductive classifier, have been used to create a… 
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…