Jamie Haddock

2 accepted papers

2022

A Generalized Hierarchical Nonnegative Tensor Decomposition

Joshua Vendrow, Jamie Haddock, Deanna Needell

ICASSP 2022accepted

Nonnegative matrix factorization (NMF) has found many applications including topic modeling and document analysis. Hierarchical NMF (HNMF) variants are able to learn topics at various levels of granularity and illustrate their hierarchical relationship. Recently, nonnegative tensor factorization (NT…

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2021

On a Guided Nonnegative Matrix Factorization

Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell

ICASSP 2021accepted

Fully unsupervised topic models have found fantastic success in document clustering and classification. However, these models often suffer from the tendency to learn less-than-meaningful or even redundant topics when the data is biased towards a set of features. For this reason, we propose an approa…

Cited by 0 Source ↗Scholar ↗