Multimodal Intelligence: Representation Learning, Information Fusion, and Applications

Deep learning methods haverevolutionized speech recognition, image recognition, and natural language processing since 2010. Each of these tasks involves a single modality in their input signals. However, many applications in the artificial intelligence field involve multiple modalities. Therefore, i...

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Veröffentlicht in:	IEEE journal of selected topics in signal processing Jg. 14; H. 3; S. 478 - 493
Hauptverfasser:	Zhang, Chao, Yang, Zichao, He, Xiaodong, Deng, Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial intelligence caption generation Computer vision Data integration Deep learning embedding Image processing Machine learning multimodal fusion Multimodality natural language Natural language processing Object recognition representation Representations Semantics Signal processing speech Speech recognition Task analysis Teaching methods text-to-image generation Training vision visual question answering visual reasoning Visualization
ISSN:	1932-4553, 1941-0484
Online-Zugang:	Volltext
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