A Tutorial on Singular Value Decomposition with Applications on Image Compression and Dimensionality Reduction.
Yousef JaradatMohammad Z. MasoudIsmael JannoudAhmad M. ManasrahMohammad Ahmad AliaPublished in: ICIT (2021)
Keyphrases
- singular value decomposition
- dimensionality reduction
- image compression
- principal component analysis
- wavelet transform
- high dimensional data
- feature extraction
- high dimensional
- low dimensional
- dimension reduction
- pattern recognition
- data representation
- singular values
- principal components
- subband
- low rank
- reconstructed image
- latent semantic indexing
- subspace learning
- manifold learning
- linear discriminant analysis
- random projections
- high dimensionality
- input space
- image processing
- data points
- feature selection
- feature space
- low rank approximation
- metric learning
- singular vectors
- machine learning
- co occurrence
- feature vectors
- pairwise
- data analysis
- video sequences
- computer vision
- unsupervised feature selection
- low rank matrix
- data sets