-norm minimization for dimensionality reduction.
Weizhong YuRong WangFeiping NieFei WangQiang YuXiaojun YangPublished in: Neurocomputing (2018)
Keyphrases
- norm minimization
- dimensionality reduction
- sparse representation
- unsupervised feature selection
- convex optimization
- high dimensional data
- high dimensional
- sparse coding
- matrix completion
- principal component analysis
- feature extraction
- interior point methods
- feature selection
- feature space
- data points
- low dimensional
- high dimensionality
- pattern recognition
- data representation
- unsupervised learning
- low rank
- singular value decomposition
- image patches
- principal components
- metric learning
- nearest neighbor
- computationally intensive
- higher order
- data clustering
- generative model