Robotics & Machine Learning Daily News2024,Issue(Jul.9) :4-5.

Recent Studies from Delft University of Technology Add New Data to Machine Learn ing (Impact of Annotation Modality On Label Quality and Model Performance In the Automatic Assessment of Laughter In-the-wild)

Robotics & Machine Learning Daily News2024,Issue(Jul.9) :4-5.

Recent Studies from Delft University of Technology Add New Data to Machine Learn ing (Impact of Annotation Modality On Label Quality and Model Performance In the Automatic Assessment of Laughter In-the-wild)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Delft, Nethe rlands, by NewsRx correspondents, research stated, “Althoughlaughter is known t o be a multimodal signal, it is primarily annotated from audio. It is unclear ho wlaughter labels may differ when annotated from modalities like video, which ca pture body movements andare relevant in in-the-wild studies.”

Key words

Delft/Netherlands/Europe/Cyborgs/Eme rging Technologies/Machine Learning/Delft University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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