Tucker-Regularized Tensor Bregman Co-clustering.
Pedro A. ForeroPaul A. BaxleyPublished in: EUSIPCO (2020)
Keyphrases
- bregman divergences
- tensor factorization
- tensor decomposition
- kl divergence
- information theoretic
- nonnegative matrix factorization
- negative matrix factorization
- collaborative filtering
- high order
- trace norm
- matrix factorization
- data representation
- cost sensitive
- mahalanobis distance
- maximum entropy
- data matrix
- exponential family
- loss function
- auxiliary information
- kullback leibler divergence
- categorical data
- higher order
- low rank
- tag recommendation
- clustering algorithm
- singular value decomposition
- mutual information
- total variation
- squared euclidean distance
- tensor space
- least squares
- relational data
- nonnegative matrix tri factorization
- total least squares
- theoretical guarantees
- high dimensional datasets
- regularized least squares
- rows and columns
- principal component analysis
- recommender systems
- pairwise
- feature selection
- level set
- cluster analysis