首页|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)
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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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.”
DelftNetherlandsEuropeCyborgsEme rging TechnologiesMachine LearningDelft University of Technology
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