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Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition.

Gang WangQunxi DongJianfeng WuYi SuKewei ChenQingtang SuXiaofeng ZhangJinguang HaoTao YaoLi LiuCaiming ZhangRichard J. CaselliEric M. ReimanYalin Wang
Published in: Medical Image Anal. (2021)
Keyphrases
  • low rank and sparse
  • data sets
  • signal recovery
  • feature space
  • high dimensional
  • low dimensional
  • convex optimization
  • machine learning
  • image processing
  • bayesian networks
  • higher order
  • dimensionality reduction