Kernel-induced sampling theorem.
Akira TanakaHideyuki ImaiMasaaki MiyakoshiPublished in: IEEE Trans. Signal Process. (2010)
Keyphrases
- sampling theorem
- kernel induced
- feature space
- fuzzy c means
- feature selection
- random projections
- euclidean distance
- edge preserving
- super resolution algorithm
- fuzzy clustering
- nonnegative matrix factorization
- clustering algorithm
- noise reduction
- image restoration
- distance measure
- motion estimation
- clustering method
- dimensionality reduction
- principal component analysis
- data points
- active learning
- support vector
- high quality