Kernel Sparse Representation Based Dimensionality Reduction with Applications to Image Classification.
Di ZhangJiazhong HeYun ZhaoPublished in: ICIIP (2018)
Keyphrases
- image classification
- dimensionality reduction
- sparse representation
- subspace learning
- feature extraction
- spatial pyramid
- kernel discriminant analysis
- kernel pca
- class separability
- kernel trick
- input space
- feature space
- dictionary learning
- kernel learning
- sparse coding
- principal component analysis
- image representation
- kernel function
- high dimensional data
- bag of words
- high dimensionality
- pattern recognition
- dimensionality reduction methods
- data representation
- graph embedding
- random projections
- high dimensional
- linear discriminant analysis
- image features
- low dimensional
- visual words
- spatial pyramid matching
- svm classification
- support vector
- feature selection
- class specific
- lower dimensional
- kernel matrix
- manifold learning
- bag of features
- discriminant analysis
- kernel methods
- compressive sensing
- principal components
- singular value decomposition
- structure preserving
- linear dimensionality reduction
- multiple kernel learning
- metric learning
- classification algorithm
- face recognition