Detailed investigation of deep features with sparse representation and dimensionality reduction in CBIR: A comparative study.
Ahmad S. TarawnehCeyhun CelikAhmad B. A. HassanatDmitry ChetverikovPublished in: Intell. Data Anal. (2020)
Keyphrases
- sparse representation
- dimensionality reduction
- feature extraction
- random projections
- dictionary learning
- high dimensional data
- high dimensionality
- compressive sensing
- face recognition
- basis vectors
- image representation
- sparse coding
- image classification
- low dimensional
- principal components
- principal component analysis
- image features
- compressed sensing
- feature space
- joint optimization
- regularized least squares
- co occurrence
- image patches
- high dimensional
- manifold learning
- data sets
- neural network
- data representation
- unsupervised learning
- signal processing
- feature vectors
- test images
- linear combination