Regularized Embedded Multiple Kernel Dimensionality Reduction for Mine Signal Processing.
Shuang LiBing LiuChen ZhangPublished in: Comput. Intell. Neurosci. (2016)
Keyphrases
- multiple kernel
- signal processing
- dimensionality reduction
- kernel learning
- pattern recognition
- multiple kernel learning
- kernel methods
- linear combination
- low dimensional
- image processing
- support vector machine
- least squares
- high dimensional data
- multiple features
- feature extraction
- kernel function
- high dimensional
- principal component analysis
- metric learning
- data representation
- preprocessing step
- kernel matrix
- subspace learning
- dimensionality reduction methods
- data points
- sparse representation
- distance metric learning
- high dimensionality
- singular value decomposition
- feature set
- feature space
- data sets
- nonlinear dimensionality reduction
- feature selection