Combining Deep and Manifold Learning For Nonlinear Feature Extraction in Texture Images.
Cédrick Bamba NsimbaAlexandre L. M. LevadaPublished in: EUSIPCO (2020)
Keyphrases
- manifold learning
- texture images
- feature extraction
- texture classification
- texture analysis
- texture features
- gabor filters
- nonlinear manifold
- dimension reduction
- dimensionality reduction
- low dimensional manifolds
- gray level
- manifold embedding
- low dimensional
- high dimensional
- semi supervised
- nonlinear dimensionality reduction
- high dimensional data
- feature space
- feature vectors
- image classification
- preprocessing
- discriminant analysis
- pattern recognition
- face recognition
- color information
- gabor wavelets
- principal component analysis
- support vector machine svm
- local binary pattern
- data sets
- unsupervised learning
- image processing
- feature selection
- distance measure
- kernel pca
- decision trees
- learning algorithm