Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity.
Magda AmiridiNikos KargasNicholas D. SidiropoulosPublished in: IEEE Trans. Signal Process. (2021)
Keyphrases
- information theoretic
- tensor decomposition
- mutual information
- feature selection
- data representation
- information theory
- auxiliary information
- high order
- tensor factorization
- log likelihood
- machine learning
- similarity measure
- text classification
- feature set
- low rank
- kullback leibler divergence
- kl divergence
- support vector
- text categorization
- dimensionality reduction
- visual data
- image registration
- feature space
- face recognition
- model selection
- image processing
- prior knowledge
- feature extraction