Document
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders
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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.
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Year of Publication |
2018
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Date Published |
11
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Conference Location |
Madrid (Spain)
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ISBN Number |
978-3-030-03493-1
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DOI |
10.1007/978-3-030-03493-1_46
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Download citation | |
Number of Pages |
439-447
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Bibliography media |
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Notes |
TIN2015-68854-R; FPU16/00324 |