Random subspace method with class separability weighting.
Ahmet MertNiyazi Zekiye KiliçErdem BilgiliPublished in: Expert Syst. J. Knowl. Eng. (2016)
Keyphrases
- data representation
- learning algorithm
- class separability
- subspace methods
- linear discriminant analysis
- dimensionality reduction
- principal component analysis
- lower dimensional
- discriminant analysis
- high dimensional data
- feature space
- subspace learning
- linear subspace
- face recognition
- feature extraction
- low dimensional
- high dimensional
- feature selection
- ensemble methods
- support vector machine svm
- k nearest neighbor
- sparse representation
- input image
- high resolution
- intra class
- support vector
- three dimensional
- decision trees
- computer vision