Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition.
Fengxi SongJane YouDavid ZhangYong XuPublished in: Int. J. Pattern Recognit. Artif. Intell. (2012)
Keyphrases
- principal component analysis
- face recognition
- classification algorithm
- face images
- benchmark datasets
- classification accuracy
- computational complexity
- linear discriminant analysis
- face databases
- computationally efficient
- machine learning algorithms
- feature space
- discriminant analysis
- feature extraction
- feature selection
- learning algorithm
- principal components
- fisher linear discriminant
- image classification
- support vector machine
- significant improvement
- pattern recognition
- decision trees
- machine learning
- optimization problems
- worst case
- supervised learning
- data structure
- cost sensitive
- dimensionality reduction methods
- subspace methods
- neural network