Robust jointly sparse embedding for dimensionality reduction.
Zhihui LaiYudong ChenDongmei MoJiajun WenHeng KongPublished in: Neurocomputing (2018)
Keyphrases
- dimensionality reduction
- nonlinear dimensionality reduction
- structure preserving
- high dimensional
- random projections
- graph embedding
- high dimensional data
- feature extraction
- high dimensionality
- vector space
- rank minimization
- embedding space
- principal component analysis
- low dimensional
- principal components
- data representation
- sparse data
- multidimensional scaling
- pattern recognition
- feature selection
- euclidean distance
- sparse representation
- sparse coding
- distance measure
- compressive sensing
- least squares
- neural network