Feature Extraction Methods and Manifold Learning Methods
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Publisher
Springer London
Link
http://link.springer.com/content/pdf/10.1007/978-1-84800-007-0_11.pdf
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4. A.R. Barron. Universal approximation bounds for superpositions of a sigmoidal function. IEEE Transactions on Information Theory, 39(3):930-945, 1993.
5. M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15(6):1373-1396, 2003.
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