首页|Reports Summarize Computational Intelligence Study Results from University of To ronto (Skeletal Video Anomaly Detection Using Deep Learning: Survey, Challenges, and Future Directions)
Reports Summarize Computational Intelligence Study Results from University of To ronto (Skeletal Video Anomaly Detection Using Deep Learning: Survey, Challenges, and Future Directions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning - Compu tational Intelligence are presented in a newreport. According to news originati ng from Toronto, Canada, by NewsRx correspondents, research stated,“The existin g methods for video anomaly detection mostly utilize videos containing identifia ble facial andappearance-based features. The use of videos with identifiable fa ces raises privacy concerns, especiallywhen used in a hospital or community-bas ed setting.”
TorontoCanadaNorth and Central Ameri caComputational IntelligenceMachine LearningUniversity of Toronto
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