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2007, Information science and statistics., ISBN 0387393501, xvi, 308
This book reviews well-known methods for reducing the dimensionality of numerical databases as well as recent developments in nonlinear dimensionality... 
Visualization | Computational complexity | Mathematics | Logic, Symbolic and mathematical | Pattern Recognition | Computer Science | Data Mining and Knowledge Discovery | Image Processing and Computer Vision | Statistical Theory and Methods | Probability and Statistics in Computer Science
Book
by Wang, Li and Mao, Qi
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 01/2019, Volume 41, Issue 1, pp. 205 - 219
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 02/2010, Volume 11, pp. 451 - 490
Journal Article
SIAM Journal on Scientific Computing, ISSN 1064-8275, 2005, Volume 26, Issue 1, pp. 313 - 338
We present a new algorithm for manifold learning and nonlinear dimensionality reduction. Based on a set of unorganized data points sampled with noise from a... 
Tangent space | Subspace alignment | Principal manifold | Nonlinear dimensionality reduction | Singular value decomposition | MATHEMATICS, APPLIED | subspace alignment | principal manifold | tangent space | singular value decomposition | nonlinear dimensionality reduction
Journal Article
Pattern Recognition, ISSN 0031-3203, 03/2019, Volume 87, pp. 55 - 66
The recovery of the intrinsic geometric structures of data collections is an important problem in data analysis. Supervised extensions of several manifold... 
Dimensionality reduction | Nonlinear embeddings | Manifold learning | Out-of-sample | Supervised learning | EIGENMAPS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Information management | Data mining | Analysis
Journal Article
Pattern Recognition, ISSN 0031-3203, 03/2019, Volume 87, pp. 226 - 236
Existing dimensionality reduction methods are adept at revealing hidden underlying manifolds arising from high-dimensional data and thereby producing a... 
Manifold | Noisy measurements | Geodesics | Smoothing spline | Nonlinear dimensionality reduction | PATTERN-RECOGNITION | ANOMALY DETECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ISOMAP | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms
Journal Article
Information Sciences, ISSN 0020-0255, 07/2019, Volume 491, pp. 16 - 29
Manifold learning has gained in recent years a great attention in facing the problem of dimensionality reduction of high-dimensional data. This technique is... 
Regression | Intrinsic dimension | Manifold learning | Machine learning | Nonlinear dimensionality reduction | COMPUTER SCIENCE, INFORMATION SYSTEMS | ANGLE | EIGENMAPS | ESTIMATOR | Analysis | Models
Journal Article
IEEE Journal of Selected Topics in Signal Processing, ISSN 1932-4553, 09/2015, Volume 9, Issue 6, pp. 1026 - 1036
Journal Article
Neurocomputing, ISSN 0925-2312, 07/2013, Volume 112, pp. 109 - 123
The growing number of dimensionality reduction methods available for data visualization has recently inspired the development of formal measures to evaluate... 
Quality assessment | Co-ranking matrix | Data visualization | Nonlinear dimensionality reduction | PROJECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
ISPRS Journal of Photogrammetry and Remote Sensing, ISSN 0924-2716, 03/2014, Volume 89, pp. 25 - 36
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 07/2016, Volume 38, Issue 7, pp. 1452 - 1464
Journal Article
by Yan, L and Roy, D.P
Remote Sensing of Environment, ISSN 0034-4257, 03/2015, Volume 158, pp. 478 - 491
Journal Article