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Oracle Data Mining supports a supervised form of feature selection and an unsupervised form of feature extraction. See Also: "Supervised Data Mining".
11 Oct 2015
I. Guyon and A. Elisseeff: An Introduction to Feature Extraction, StudFuzz 207, 1–25 (2006) www.springerlink.com c Springer-Verlag Berlin Heidelberg 2006
This chapter introduces the reader to the various aspects of feature extraction covered in this book. Section 1 reviews definitions and notations and proposes a
Feature extraction for compact representation of image data in computer vision. Feature extraction a type of dimensionality reduction that efficiently represents interesting parts of an image as a compact feature vector.
This chapter introduces the reader to the various aspects of feature extraction covered in this book. Section 1 reviews definitions and notations and proposes.
Definition of Feature Extraction: Transformation of input data into a set of features. Features are distinctive properties of input patterns that help in differentiating

In machine learning, pattern recognition and in image processing, feature extraction starts from an initial set of measured data and builds derived values (features) intended to be informative and non-redundant, facilitating the subsequent learning and generalization steps, and in some cases leading to better human
Note. Feature extraction is very different from Feature selection: the former consists in transforming arbitrary data, such as text or images, into numerical features

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February 2018