Convolutional Multidimensional Amplitude Spectrum Nuclear Norm for Frequency-domain Robust Principal Component Analysis.
Ryoya HarashimaRyunosuke EguchiSeisuke KyochiPublished in: APSIPA ASC (2023)
Keyphrases
- frequency domain
- robust principal component analysis
- nuclear norm
- low rank
- low rank matrix
- norm minimization
- rank minimization
- fourier transform
- matrix completion
- spatial domain
- convex optimization
- linear combination
- matrix factorization
- sparse coding
- minimization problems
- missing data
- singular value decomposition
- singular values
- denoising
- high order
- semi supervised
- feature extraction
- convex relaxation
- high dimensional data
- sparse representation
- subband
- data matrix
- sparse matrix
- image processing
- pairwise
- image classification
- generative model
- approximation methods
- affinity matrix
- small number
- motion estimation