Dimensionality Reduction by Consolidated Sparse Representation and Fisher Criterion with Initialization for Recognition.
Parita ChavdaSrimanta MandalSuman K. MitraPublished in: CVIP (3) (2020)
Keyphrases
- sparse representation
- dimensionality reduction
- fisher criterion
- subspace learning
- linear discriminant
- linear discriminant analysis
- feature extraction
- high dimensional data
- pattern recognition
- sparse coding
- dictionary learning
- unsupervised learning
- discriminant analysis
- high dimensional
- random projections
- principal component analysis
- low dimensional
- high dimensionality
- data representation
- manifold learning
- image patches
- feature space
- object recognition
- data points
- face recognition
- image classification
- data sets
- dimension reduction
- image processing
- metric learning
- image representation
- low rank
- singular value decomposition
- k means
- feature selection
- signal processing
- lower dimensional
- machine learning
- data mining