Dimensionality reduction based on non-parametric mutual information.
Lev FaivishevskyJacob GoldbergerPublished in: Neurocomputing (2012)
Keyphrases
- mutual information
- dimensionality reduction
- statistical dependence
- feature selection
- information theoretic
- high dimensional data
- high dimensional
- image registration
- high dimensionality
- data representation
- low dimensional
- principal component analysis
- similarity measure
- random projections
- multi modal image registration
- input space
- structure preserving
- conditional mutual information
- lower dimensional
- medical image registration
- linear discriminant analysis
- feature extraction
- pattern recognition
- information gain
- pattern recognition and machine learning
- manifold learning
- feature space
- probability density function
- nonlinear dimensionality reduction
- gaussian processes
- data points
- linear projection
- information theoretic measures
- dimensionality reduction methods
- kullback leibler divergence
- deformation field
- metric learning
- semi parametric
- kernel learning
- linear dimensionality reduction
- gaussian process
- normalized mutual information
- text categorization
- machine learning
- semi supervised
- mutual information maximization