The nearest-farthest subspace classification for face recognition.
Jian-Xun MiDe-Shuang HuangBing WangXingjie ZhuPublished in: Neurocomputing (2013)
Keyphrases
- face recognition
- feature extraction
- subspace analysis
- principal component analysis
- fisher linear discriminant
- classification algorithm
- classification accuracy
- support vector
- subspace learning
- pattern recognition
- feature vectors
- locality preserving projections
- supervised learning
- recognition rate
- computer vision
- subspace methods
- linear subspace
- classification scheme
- discriminant analysis
- text classification
- image classification
- feature space
- support vector machine
- training set
- benchmark datasets
- face detection
- linear discriminant analysis
- training samples
- pattern classification
- dimensionality reduction
- high dimensional