Sparse feature selection by information theory.
Guangyao ZhouStuart GemanJoachim M. BuhmannPublished in: ISIT (2014)
Keyphrases
- information theory
- feature selection
- information theoretic
- jensen shannon divergence
- sparse pca
- mutual information
- statistical mechanics
- statistical learning
- feature space
- feature selection algorithms
- conditional entropy
- feature extraction
- multi class
- relative entropy
- machine learning
- statistical physics
- feature set
- dimensionality reduction
- high dimensional
- support vector
- sparse representation
- kullback leibler divergence
- mdl principle
- random projections
- motion estimation
- support vector machine
- classification accuracy
- image processing
- information geometry