Kernel low-rank embedding dictionary learning for face recognition.
Yuqi PanMingyan JiangPublished in: ICNC-FSKD (2017)
Keyphrases
- low rank
- dictionary learning
- sparse representation
- face recognition
- kernel matrix
- graph embedding
- group sparsity
- high dimensional data
- sparse coding
- linear combination
- missing data
- matrix factorization
- convex optimization
- kernel pca
- dimensionality reduction
- singular value decomposition
- face images
- subspace learning
- semi supervised
- sparsity constraints
- vector space
- nearest neighbor
- high order
- feature extraction
- reproducing kernel hilbert space
- image classification
- multiple kernel learning
- low dimensional
- manifold learning
- data sets
- computer vision
- negative matrix factorization
- data points
- signal processing
- image patches
- kernel methods
- principal component analysis
- image representation
- recommender systems
- text classification
- image features
- collaborative filtering
- knn
- kernel function
- data mining