A dimensionality reduction method based on structured sparse representation for face recognition.
Guanghua GuZhichao HouChunxia ChenYao ZhaoPublished in: Artif. Intell. Rev. (2016)
Keyphrases
- sparse representation
- dimensionality reduction methods
- dimensionality reduction
- face recognition
- discriminant analysis
- random projections
- principal component analysis
- discriminant projection
- dictionary learning
- linear discriminant analysis
- sparse coding
- high dimensional data
- high dimensional
- feature extraction
- subspace learning
- pattern recognition
- image patches
- low dimensional
- preprocessing step
- manifold learning
- principal components analysis
- face images
- feature selection
- high dimensionality
- image classification
- knn
- data points
- data sets
- unsupervised learning
- signal processing
- distance measure
- lower dimensional
- graph embedding
- singular value decomposition
- document clustering
- nearest neighbor
- feature space
- decision trees
- image processing