Adaptive Feature Selection and Image Classification Using Manifold Learning Techniques.
Amna AshrafNazri Mohd NawiMuhammad AamirPublished in: IEEE Access (2024)
Keyphrases
- manifold learning
- image classification
- feature extraction
- feature selection
- dimensionality reduction
- dimension reduction
- sparse representation
- low dimensional
- nonlinear dimensionality reduction
- diffusion maps
- high dimensional
- semi supervised
- laplacian eigenmaps
- feature space
- geodesic distance
- bag of words
- high dimensional data
- image processing
- feature set
- preprocessing
- principal component analysis
- unsupervised learning
- image representation
- text classification
- support vector
- feature vectors
- manifold structure
- subspace learning
- discriminant projection
- manifold embedding
- low dimensional manifolds
- latent space
- sparse coding
- high dimensionality
- linear discriminant analysis
- support vector machine svm
- support vector machine
- image features
- locally linear embedding
- feature subset
- head pose estimation
- cluster analysis
- model selection
- manifold learning algorithm
- nonlinear manifold
- discriminant embedding