Progressive Learning of a Multimodal Classifier Accounting for Different Modality Combinations

In classification tasks, such as face recognition and emotion recognition, multimodal information is used for accurate classification. Once a multimodal classification model is trained with a set of modalities, it estimates the class label by using the entire modality set. A trained classifier is ty...

詳細記述

書誌詳細

主要な著者:	Vijay John, Yasutomo Kawanishi
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2023-05-01
シリーズ:	Sensors
主題:	multimodal learning person classification emotion classification missing modality multimodal portability sensor fusion
オンライン･アクセス:	https://www.mdpi.com/1424-8220/23/10/4666
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