Cross-Modal Information Recovery and Enhancement Using Multiple-Input-Multiple-Output Variational Autoencoder

Motivated by the cross-modal information processing mechanism of human brain, vertebrates, and invertebrates, we propose a multiple-input-multiple-output (MIMO) variational autoencoder (VAE) and subsequently apply it to cross-modal information recovery and enhancement. For a cross-modal system with...

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Vydané v:	IEEE internet of things journal Ročník 11; číslo 15; s. 26470 - 26480
Hlavný autor:	Liang, Jessica E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.08.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Audio data Autoencoders Brain Coders Complexity Cross-modal information processing Data integration Data processing Decoders Decoding Image reconstruction Information theory Internet of Things Linearization Machine learning MIMO multiple-input–multiple-output (MIMO) Recovery Robot sensing systems Robots variational autoencoder (VAE) Vertebrates Visualization
ISSN:	2327-4662, 2327-4662
On-line prístup:	Získať plný text
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