Robotics & Machine Learning Daily News2024,Issue(Jan.29) :48-49.

Findings from Northeastern University Reveals New Findings on Intelligent Systems (Gait Recognition Based On Multi-feature Representation and Temporal Modeling of Periodic Parts)

Robotics & Machine Learning Daily News2024,Issue(Jan.29) :48-49.

Findings from Northeastern University Reveals New Findings on Intelligent Systems (Gait Recognition Based On Multi-feature Representation and Temporal Modeling of Periodic Parts)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning - Intelligent Systems. According to news originating from Shenyang, People’s Republic of China, by NewsRx correspondents, research stated,“Despite the ability of 3D convolutional methods to extract spatio-temporal information simultaneously,they also increase parameter redundancy and computational and storage costs. Previous work that hasutilized the 2D convolution method has approached the problem in one of two ways: either using theentire body sequence as input to extract global features or dividing the body sequence into several partsto extract local features.”

Key words

Shenyang/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Northeastern University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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