有监督的无参数核局部保持投影及人脸识别 (Parameter-less Supervised Kernel Locality Preserving Projection and Face Recognition).
Qu GongKaiqiang XuPublished in: 计算机科学 (2016)
Keyphrases
- locality preserving projections
- face recognition
- neighborhood preserving embedding
- dimensionality reduction
- locality preserving
- linear discriminant analysis
- feature space
- face images
- subspace learning
- principal component analysis
- subspace methods
- riemannian manifolds
- kernel pca
- recognition accuracy
- manifold learning
- discriminating power
- recognition rate
- kernel function
- discriminant analysis
- kernel methods
- human faces
- local binary pattern
- parameter space
- face detection
- sparse representation
- computer vision
- unsupervised learning
- machine learning
- supervised learning
- kernel trick
- semi supervised
- pose variations
- pattern recognition
- feature extraction
- locally linear embedding
- learning algorithm
- feature selection
- principle component analysis
- manifold structure
- support vector
- facial expressions
- face databases
- dimension reduction
- support vector machine svm