Auto-encoder based dimensionality reduction.
Yasi WangHongxun YaoSicheng ZhaoPublished in: Neurocomputing (2016)
Keyphrases
- dimensionality reduction
- bit rate
- high dimensional
- high dimensional data
- rate distortion
- low dimensional
- pattern recognition
- principal component analysis
- data representation
- high dimensionality
- dimensionality reduction methods
- linear discriminant analysis
- feature extraction
- data points
- random projections
- low complexity
- feature selection
- error control
- pattern recognition and machine learning
- principal components
- structure preserving
- metric learning
- kernel pca
- feature space
- wyner ziv video coding
- video codec
- video compression
- motion estimation
- image data
- video coding
- locally linear embedding
- distributed video coding
- nonlinear dimensionality reduction
- noisy channel
- temporal correlation
- neural network
- least squares
- sparse representation