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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
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… 
Highly Cited
2006
Highly Cited
2006
An Introduction to Feature Extraction.- An Introduction to Feature Extraction.- Feature Extraction Fundamentals.- Learning… 
Highly Cited
2006
Highly Cited
2006
Although color is commonly experienced as an indispensable quality in describing the world around us, state-of-the art local… 
Highly Cited
2006
Highly Cited
2006
In pattern recognition, feature extraction techniques are widely employed to reduce the dimensionality of data and to enhance the… 
Highly Cited
2004
Highly Cited
2004
We propose a method for detecting and describing features of faces using deformable templates. The feature of interest, an eye… 
Highly Cited
2000
Highly Cited
2000
Hidden Markov model speech recognition systems typically use Gaussian mixture models to estimate the distributions of… 
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…