Manifold Learning Theory and Applications

Manifold Learning Theory and Applications
Author: Yunqian Ma
Publisher: CRC Press
Total Pages: 410
Release: 2011-12-20
Genre: Business & Economics
ISBN: 1466558873

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Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread


Manifold Learning Theory and Applications
Language: en
Pages: 410
Authors: Yunqian Ma
Categories: Business & Economics
Type: BOOK - Published: 2011-12-20 - Publisher: CRC Press

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Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dime
Machine Learning for Audio, Image and Video Analysis
Language: en
Pages: 564
Authors: Francesco Camastra
Categories: Computers
Type: BOOK - Published: 2015-07-21 - Publisher: Springer

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This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

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Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Elements of Dimensionality Reduction and Manifold Learning
Language: en
Pages: 617
Authors: Benyamin Ghojogh
Categories: Computers
Type: BOOK - Published: 2023-02-02 - Publisher: Springer Nature

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Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better represen
Machine Learning: Theory and Applications
Language: en
Pages: 551
Authors:
Categories: Computers
Type: BOOK - Published: 2013-05-16 - Publisher: Newnes

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Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections an