| #1880589 in Books | 2011-12-20 | Original language:English | PDF # 1 | 10.20 x.90 x7.10l,.0 | File Name: 1439871094 | 314 pages
||About the Author||About the Editors: |Yunqian Ma received his PhD in electrical engineering from the University of Minnesota at twin cities in 2003. He then joined Honeywell International Inc., where he is currently senior prin
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 application in machine learning, neural networks, pattern recognition, image processing, and computer vision.
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[PDF.st79] Manifold Learning Theory and Applications Rating: 3.93 (481 Votes)
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