Analysis of approaches to feature space partitioning for nonlinear dimensionality reduction
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1134/S1054661816030147.pdf
Reference16 articles.
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3. J. B. Tenenbaum, V. de Silva, and J. C. Langford, “A global geometric framework for nonlinear dimensionality reduction,” Science 290, 2319–2323 (2000).
4. S. T. Roweis and L. K. Saul, “Nonlinear dimensionality reduction by locally linear embedding,” Science 290, 2323–2326 (2000).
5. E. V. Myasnikov, “Nonlinear dimensionality reduction method with the use of reference nodes for analysis of digital image collections,” Pattern Recogn. Image Anal. 21 (2), 312–315 (2011).
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