Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure.
John Aldo LeeDiego Hernán Peluffo-OrdóñezMichel VerleysenPublished in: Neurocomputing (2015)
Keyphrases
- global structure
- multiscale
- wavelet coefficients
- low dimensional
- high dimensional
- output space
- dimensionality reduction
- endpoints
- geometric structure
- feature space
- tree structure
- similarity measure
- image representation
- global information
- image processing
- multimedia
- computational complexity
- data structure
- high dimensional data
- motion analysis
- computer vision