首页|Study Findings on Machine Learning Are Outlined in Reports from Department of Computer Sciences and Engineering (Silk-svm: an Effective Machine Learning Based Key-frame Extraction Approach for Dynamic Hand Gesture Recognition)
Study Findings on Machine Learning Are Outlined in Reports from Department of Computer Sciences and Engineering (Silk-svm: an Effective Machine Learning Based Key-frame Extraction Approach for Dynamic Hand Gesture Recognition)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating in Haryana, India, by NewsRx journalists, research stated, “Dynamic hand gesture recognition is a fundamental domain in Human-Computer Interaction, wherein machine learning and deep learning models are widely employed. Key-frame extraction from the input hand gesture videos is a challenging task in this domain, since voluminous video datasets contain numerous redundant frames leading to storage inefficiency and longer training times.”
HaryanaIndiaAsiaCyborgsEmerging TechnologiesGesture RecognitionMachine LearningDepartment of Computer Scie nces and Engineering
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