首页|Reports Summarize Computational Intelligence Study Results from University of Ma cau (Probabilistic Nuclear-norm Matrix Regression Regularized By Random Graph Th eory)
Reports Summarize Computational Intelligence Study Results from University of Ma cau (Probabilistic Nuclear-norm Matrix Regression Regularized By Random Graph Th eory)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning - Computational Intelligence. According to newsoriginating from Taipa, People’s Republic of China, by NewsRx correspondents, research stated, “Thestructural in formation is critical in image analysis as one of the most popular topics in the computationalintelligence area. To capture the structural information of the g iven images, the nuclear-norm matrixregression (NMR) framework provides a natur al way by successfully formulating the two-dimensionalimage error matrix into t he image analysis.”
TaipaPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningMathematical TheoriesUniversity of Macau
NETL
NSTL
