Sparsity Based Feature Extraction for Kernel Minimum Squared Error.
Jiang JiangXi ChenHaitao GanNong SangPublished in: CCPR (1) (2014)
Keyphrases
- squared error
- feature extraction
- loss function
- absolute error
- feature space
- relative error
- cross entropy
- reproducing kernel hilbert space
- support vector
- high dimensional
- kernel function
- kernel methods
- classification trees
- frequency domain
- feature selection
- dimensionality reduction
- wavelet transform
- distortion measure
- feature vectors
- face recognition
- standard deviation
- random sampling
- global minimum
- target function