Nonlinear Feature Extraction Through Manifold Learning in an Electronic Tongue Classification Task.
Jersson X. Leon-MedinaMaribel Anaya VejarFrancesc PozoDiego A. TibaduizaPublished in: Sensors (2020)
Keyphrases
- manifold learning
- feature extraction
- dimension reduction
- nonlinear manifold learning
- feature mapping
- dimensionality reduction
- feature vectors
- pattern classification
- nonlinear dimensionality reduction
- feature space
- nonlinear manifold
- manifold embedding
- high dimensional
- image classification
- support vector machine svm
- discriminant projection
- low dimensional
- semi supervised
- diffusion maps
- subspace learning
- pattern recognition
- feature selection
- preprocessing
- dimensionality reduction methods
- feature representation
- head pose estimation
- low dimensional manifolds
- laplacian eigenmaps
- feature set
- locality preserving
- manifold structure
- high dimensionality
- neural network
- high dimensional data
- kernel pca
- discriminant analysis
- linear discriminant analysis
- principal component analysis
- manifold learning algorithm
- discriminant embedding
- model selection
- training set
- face recognition
- decision trees
- image processing
- machine learning