Minisymposium on Multi-Modal Data Mining Methods and Applications

We are organizing a minisymposium on Multi-Modal Data Mining Methods and Applications based on Coupled Matrix/Tensor Factorizations at SIAM Conference on Applied Linear Algebra (LA21) on May 19, 2021.

From our group, Carla Schenker talks about a flexible framework for regularized matrix-tensor factorizations with linear couplings. See the line-up of interesting talks:

https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=70392

Also, as a contributed talk, Marie Roald discusses tracing dynamic networks using tensor methods.

https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=71898

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Tufts Tripods Seminar on Multi-Modal Data Mining