首页|Research Data from South China University of Technology Update Understanding of Machine Learning (Using Semi-supervised Machine Learning To Assist Classificatio n and Recognition of Chinese Vernacular Architecture)

Research Data from South China University of Technology Update Understanding of Machine Learning (Using Semi-supervised Machine Learning To Assist Classificatio n and Recognition of Chinese Vernacular Architecture)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated,“In order to const ruct a more refined, comprehensive and systematized classification system for Ch inesevernacular architecture, this paper proposed a classifying method based on semisupervised machine learningusing architecture image data. By adding type l abels based on experts’ prior knowledge as a guide topart of the training sampl es, it allows generalized machine clustering to effectively combine image feature mining with characteristics of special objects.”

GuangzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningSouth China University of Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.18)