重庆邮电大学教师主页米建勋--Home--Scientific Research

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Scientific Research

Research Field

AI, Machine learning, Computer vision, Computational Neuroscience

Paper Publications

Principal Component Analysis based on Nuclear norm Minimization.Neural Networks.2019,118:1-16
Bilateral Structure based Matrix Regression Classification for Face Recognition.Neurocomputing.2018,348:107-119
Channel binary pattern based global-local spatial information fusion for motor imagery tasks.Informatics in Medicine Unlocked.2020
Robust supervised sparse representation for face recognition.Cognitive Systems Research
Generalized two-dimensional PCA based on L2,p-norm minimization.2020

Patents

Research Projects