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Identifying the common and subject-specific functional units of speech movements via a joint sparse non-negative matrix factorization framework.

Jonghye WooFangxu XingJerry L. PrinceMaureen StoneTimothy G. ReeseVan J. WedeenGeorges El Fakhri
Published in: Medical Imaging: Image Processing (2020)
Keyphrases
  • matrix factorization
  • subject specific
  • collaborative filtering
  • recommender systems
  • negative matrix factorization
  • nonnegative matrix factorization
  • data sets
  • image processing
  • dimensionality reduction
  • missing data