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Communication Dans Un Congrès Année : 2017

Some theory on Non-negative Tucker Decomposition

Résumé

Some theoretical difficulties that arise from dimensionality reduction for tensors with non-negative coefficients is discussed in this paper. A necessary and sufficient condition is derived for a low non-negative rank tensor to admit a non-negative Tucker decomposition with a core of the same non-negative rank. Moreover, we provide evidence that the only algorithm operating mode-wise, minimizing the dimensions of the features spaces, and that can guarantee the non-negative core to have low non-negative rank requires identifying on each mode a cone with possibly a very large number of extreme rays. To illustrate our observations, some existing algorithms that compute the non-negative Tucker decomposition are described and tested on synthetic data.
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Dates et versions

hal-01420297 , version 1 (23-12-2016)
hal-01420297 , version 2 (31-03-2020)

Identifiants

  • HAL Id : hal-01420297 , version 2

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Jérémy E Cohen, Pierre Comon, Nicolas Gillis. Some theory on Non-negative Tucker Decomposition. LVA/ICA 2017 - 13th International Conference on Latent Variable Analysis and Signal Separation, Feb 2017, Grenoble, France. ⟨hal-01420297v2⟩
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