Rank-one Tensor Approximation with Beta-divergence Cost Functions.
Michiel VandecappelleNico VervlietLieven De LathauwerPublished in: EUSIPCO (2019)
Keyphrases
- cost function
- tensor product
- frobenius norm
- kullback leibler divergence
- kullback leibler
- high order
- kl divergence
- higher order
- approximation algorithms
- distance measure
- b spline
- search space reduction
- approximation error
- special case
- negative matrix factorization
- ranked list
- error bounds
- optimization criterion
- mutual information
- denoising
- feature selection