Detailed Investigation of Deep Features with Sparse Representation and Dimensionality Reduction in CBIR: A Comparative Study.
Ahmad S. TarawnehCeyhun CelikAhmad Basheer HassanatDmitry ChetverikovPublished in: CoRR (2018)
Keyphrases
- sparse representation
- dimensionality reduction
- feature extraction
- high dimensional data
- dictionary learning
- high dimensionality
- sparse coding
- random projections
- face recognition
- feature space
- image representation
- image classification
- compressed sensing
- subspace learning
- high dimensional
- sparse approximations
- pattern recognition
- co occurrence
- joint optimization
- feature vectors
- image retrieval
- basis vectors
- compressive sensing
- negative matrix factorization
- signal processing
- principal component analysis
- test images
- data points
- manifold learning
- lower dimensional
- data sets
- image segmentation
- data analysis
- principal components
- image set
- image content
- supervised learning
- low dimensional