Class-preserving manifold learning for detection and classification.
Puoya TabaghiMahmood R. Azimi-SadjadiPublished in: IJCNN (2015)
Keyphrases
- linear discriminant analysis
- manifold learning
- dimension reduction
- dimensionality reduction
- locality preserving projections
- feature extraction
- feature space
- high dimensional data
- support vector machine svm
- label information
- face recognition
- support vector
- pattern recognition
- low dimensional
- locality preserving
- nonlinear dimensionality reduction
- dimensionality reduction methods
- subspace learning
- laplacian eigenmaps
- feature selection
- class labels
- unsupervised learning
- pattern classification
- high dimensional
- feature mapping
- multi class classification
- discriminant embedding
- image classification
- head pose estimation
- locally linear embedding
- machine learning
- text classification
- feature set
- supervised learning
- semi supervised
- active learning