Blar i ODA Open Digital Archive på forfatter "Cohen, Jeremy E."

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    • An AO-ADMM Approach to Constraining PARAFAC2 on All Modes 

      Roald, Marie; Schenker, Carla; Calhoun, Vince D.; Adali, Tülay; Bro, Rasmus; Cohen, Jeremy E.; Acar, Evrim (SIAM Journal on Mathematics of Data Science;Volume 4, Issue 3 | 2022, Peer reviewed; Journal article, 2022-08-30)
      Analyzing multi-way measurements with variations across one mode of the dataset is a challenge in various fields including data mining, neuroscience and chemometrics. For example, measurements may evolve over time or have ...

    • PARAFAC2 AO-ADMM: Constraints in all modes 

      Roald, Marie; Schenker, Carla; Cohen, Jeremy E.; Acar, Evrim (European Signal Processing Conference;2021 29th European Signal Processing Conference (EUSIPCO), Conference object, 2021-12-08)
      The PARAFAC2 model provides a flexible alternative to the popular CANDECOMP/PARAFAC (CP) model for tensor decompositions. Unlike CP, PARAFAC2 allows factor matrices in one mode (i.e., evolving mode) to change across tensor ...