Tucker Dimensionality Reduction of Three-Dimensional Arrays in Linear Time.
Ivan V. OseledetsDmitry V. SavostyanovEugene E. TyrtyshnikovPublished in: SIAM J. Matrix Anal. Appl. (2008)
Keyphrases
- dimensionality reduction
- three dimensional
- principal component analysis
- high dimensionality
- high dimensional data
- pattern recognition
- feature space
- low dimensional
- data representation
- manifold learning
- feature extraction
- high dimensional
- virtual reality
- d objects
- dimensionality reduction methods
- linear dimensionality reduction
- feature selection
- nonlinear dimensionality reduction
- linear array
- surface reconstruction
- multi view
- image sequences
- random projections
- lower dimensional
- surface model
- multidimensional scaling
- metric learning
- data points
- neural network
- linear projection
- supervised dimensionality reduction