Improving dimensionality reduction with spectral gradient descent.
Roland MemisevicGeoffrey E. HintonPublished in: Neural Networks (2005)
Keyphrases
- dimensionality reduction
- high dimensional data
- feature extraction
- high dimensional
- low dimensional
- pattern recognition and machine learning
- objective function
- cost function
- data representation
- principal components
- structure preserving
- high dimensionality
- principal component analysis
- linear discriminant analysis
- hyperspectral
- supervised dimensionality reduction
- spectral analysis
- linear dimensionality reduction
- neural network
- input space
- singular value decomposition
- feature space
- data analysis
- pattern recognition
- feature selection
- machine learning