Combining Linear Dimensionality Reduction and Locality Preserving Projections with Feature Selection for Recognition Tasks.
Fadi DornaikaAmmar AssoumAlireza BosaghzadehPublished in: ACIVS (2011)
Keyphrases
- linear dimensionality reduction
- dimensionality reduction
- locality preserving projections
- feature selection
- principal component analysis
- face recognition
- high dimensionality
- linear discriminant analysis
- feature extraction
- manifold learning
- subspace learning
- high dimensional
- unsupervised learning
- low dimensional
- high dimensional data
- data representation
- pattern classification
- feature space
- pattern recognition
- euclidean distance
- component analysis
- dimensionality reduction methods
- dimension reduction
- feature set
- multi class
- data points
- singular value decomposition
- metric learning
- manifold structure
- machine learning
- data sets
- sparse representation
- lower dimensional
- discriminative features
- locally linear embedding
- computer vision