Multimodal Outlier Optimizer for Textual, Numeric, and Image Data

Ensuring the quality and reliability of multimodal video data is critical for applications that rely on accurate interpretation, such as medical imaging, surveillance, remote sensing and intelligent manufacturing. However, the presence of outliers across different data types such as visual, textual,...

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Bibliografiske detaljer

Principais autores:	Krittika Das, Nilanjan Dey, Bitan Misra, Satyabrata Roy, R. Simon Sherratt
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Sentiment analysis multimodal outlier optimizer (MOO) Jaccard similarity score (JSS) intelligent manufacturing
Online adgang:	https://ieeexplore.ieee.org/document/11197540/
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