首页|Researchers from Southwest University Report on Findings in Computational Intell igence (Robust Hypergraph Regularized Deep Nonnegative Matrix Factorization for Multi-view Clustering)
Researchers from Southwest University Report on Findings in Computational Intell igence (Robust Hypergraph Regularized Deep Nonnegative Matrix Factorization for Multi-view Clustering)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g originating in Chongqing, People’s Republic of China, by NewsRx journalists, r esearch stated, “As the increasing heterogeneous data, mining valuable informati on from various views is in demand. Currently, deep matrix factorization (DMF) r eceives extensive attention because of its ability to discover latent hierarchic al semantics of the data.” Funders for this research include National Natural Science Foundation of China ( NSFC), Natural Science Foundation of Chongqing, Science and Technology Research Program of Chongqing Municipal Education Commission, Open Fund of Key Laboratory of Cyber-Physical Fusion Intelligent Computing (South Central Minzu University) , State Ethnic Affairs Commission.
ChongqingPeople’s Republic of ChinaA siaComputational IntelligenceMachine LearningSouthwest University
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