Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks.
José M. PeñaJosé Antonio LozanoPedro LarrañagaIñaki InzaPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2001)
Keyphrases
- unsupervised learning
- dimensionality reduction
- random field model
- high dimensional
- principal component analysis
- dimensionality reduction methods
- deep learning
- low dimensional
- pattern recognition and machine learning
- principal components
- pattern recognition
- maximum likelihood
- data points
- feature extraction
- feature space
- supervised learning
- social networks
- linear discriminant analysis
- manifold learning
- data representation
- linear dimensionality reduction
- high dimensional data
- high dimensionality
- complex networks
- semi supervised
- gaussian mixture
- network structure
- image processing