An Efficient Approach to Informative Feature Extraction from Multimodal Data

An Efficient Approach to Informative Feature Extraction from Multimodal Data

Copyright © 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. One primary focus in multimodal feature extraction is to find the representations of individual modalities that are maximally correlated. As a well-known measure of dependence, the Hirsc...

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Bibliographic Details
Main Authors: Wang, Lichen, Wu, Jiaxiang, Huang, Shao-Lun, Zheng, Lizhong, Xu, Xiangxiang, Zhang, Lin, Huang, Junzhou
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Association for the Advancement of Artificial Intelligence (AAAI) 2021
Online Access:https://hdl.handle.net/1721.1/137795

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