Manifold Learning Theory and Applications

by Yunqian Ma and Yun Fu

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...

• Format: Hardcover
• Language: English
• ISBN: 1439871094
• ISBN13: 9781439871096
• Release Date: January 2012
• Publisher: CRC Press
• Length: 330 Pages
• Weight: 1.70 lbs.
• Dimensions: 0.9" x 7.1" x 10.2"