A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders

Author
Abstract
The problem of high dimensionality is a challenge when facing machine learning tasks. A high dimensional space has a negative effect on the predictive performance of many methods, specifically, classification algorithms. There are different proposals that arise to mitigate the effects of this phenomenon. In this sense, models based on deep learning have emerged.
Year of Publication
2018
Date Published
11
Conference Location
Madrid (Spain)
ISBN Number
978-3-030-03493-1
DOI
10.1007/978-3-030-03493-1_46
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Number of Pages
439-447
Bibliography media
Notes

TIN2015-68854-R; FPU16/00324