An efficient sparse kernel adaptive filtering algorithm based on isomorphism between functional subspace and Euclidean space.
Masa-aki TakizawaMasahiro YukawaPublished in: ICASSP (2014)
Keyphrases
- euclidean space
- filtering algorithm
- sparse kernel
- low dimensional
- shape analysis
- data points
- metric space
- vector space
- dimensionality reduction
- high dimensional
- median filter
- euclidean distance
- principal component analysis
- high dimensional data
- feature space
- principal components
- pattern recognition
- mathematical morphology
- neural network
- probability distribution
- image analysis
- multiple kernel learning
- multiscale