3 citations · 5 across the 7 of their papers we have counts for
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EM: Double Bounded -Divergence Optimization for Tensor-based Discrete Density Estimation
Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup
Tensor-based discrete density estimation requires flexible modeling and proper divergence criteria to enable effective learning; however, traditional approaches using -divergenc…
Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays
Jesper Løve Hinrich, Morten Mørup
Tensors are ubiquitous in science and engineering and tensor factorization approaches have become important tools for the characterization of higher order structure. Factorizations…
Probabilistic PARAFAC2
Philip J. H. Jørgensen, Søren F. V. Nielsen, Jesper L. Hinrich +3
The PARAFAC2 is a multimodal factor analysis model suitable for analyzing multi-way data when one of the modes has incomparable observation units, for example because of difference…