An efficient kernel adaptive filtering algorithm using hyperplane projection along affine subspace.
Masahiro YukawaRyu-ichiro IshiiPublished in: EUSIPCO (2012)
Keyphrases
- hyperplane
- filtering algorithm
- kernel space
- feature space
- noise suppression
- adaptive filter
- kernel function
- support vector
- input space
- linear classifiers
- principal components
- sample space
- training samples
- linearly separable
- nearest point
- data points
- linear separability
- high dimensional
- low dimensional
- high dimensional data
- kernel methods
- dimensionality reduction
- median filter
- support vector machine
- kernel pca
- convex hull
- support vectors
- feature selection
- input data
- feature vectors
- kernel matrix
- svm classifier
- feature set
- principal component analysis
- decision function
- training set
- video sequences