Graph-based adaptive and discriminative subspace learning for face image clustering.
Mengmeng LiaoYunjie LiMeiguo GaoPublished in: Expert Syst. Appl. (2022)
Keyphrases
- subspace learning
- face recognition
- face images
- principal component analysis
- semi supervised
- dimensionality reduction
- unsupervised learning
- feature extraction
- human faces
- high dimensional data
- robust face recognition
- illumination variations
- low resolution
- clustering algorithm
- sparse representation
- k means
- face recognition algorithms
- manifold learning
- facial expressions
- facial features
- data points
- feature points
- face databases
- test images
- high resolution
- data representation
- input image
- feature vectors
- pose variations
- face recognition systems
- face verification
- face detection
- discriminant analysis
- linear subspace
- low dimensional
- computer vision
- training set
- image set
- sparse coding
- image classification
- learning algorithm
- linear discriminant analysis
- distance metric
- feature selection
- decision trees
- image segmentation
- pattern recognition
- pairwise