Texture Classification Using CNN and Dimensionality Reduction Techniques.
Praveen KumarJ. PandaPublished in: SOLI (2022)
Keyphrases
- dimensionality reduction
- cellular neural networks
- texture classification
- principal component analysis
- feature extraction
- high dimensional
- rotation invariant
- high dimensionality
- convolutional neural network
- data representation
- data points
- pattern recognition
- preprocessing step
- feature selection
- structure preserving
- dimensionality reduction methods
- feature space
- manifold learning
- linear discriminant analysis
- high dimensional data
- low dimensional
- random projections
- principal components
- euclidean distance
- input space
- pattern recognition and machine learning
- singular value decomposition
- dimension reduction
- nonlinear dimensionality reduction
- lower dimensional
- kernel pca
- subband decomposition
- face detection
- sparse representation
- neural network
- linear dimensionality reduction
- image analysis
- similarity measure
- feature set
- color images