On solving the face recognition problem with one training sample per subject.
Jie WangKostas N. PlataniotisJuwei LuAnastasios N. VenetsanopoulosPublished in: Pattern Recognit. (2006)
Keyphrases
- training samples
- face recognition
- face images
- test sample
- feature space
- training set
- classification error
- decision boundary
- training data
- high dimensional
- training examples
- hyperplane
- principal component analysis
- supervised learning
- training dataset
- feature extraction
- learning algorithm
- learning environment
- nearest neighbor classifier
- computer vision
- high resolution
- feature vectors
- kernel function
- class labels
- support vector
- image sequences
- sample set