Noise Adaptive Tensor Train Decomposition for Low-Rank Embedding of Noisy Data.
Xinsheng LiK. Selçuk CandanMaria Luisa SapinoPublished in: SISAP (2020)
Keyphrases
- noisy data
- low rank
- missing data
- tensor decomposition
- trace norm
- high order
- frobenius norm
- matrix factorization
- noise free
- low rank matrix
- missing values
- matrix completion
- singular value decomposition
- convex optimization
- linear combination
- high dimensional data
- kernel matrix
- semi supervised
- higher order
- auxiliary information
- singular values
- data representation
- rank minimization
- high dimensionality
- natural images
- data analysis
- pattern recognition
- class noise
- training data
- dimensionality reduction
- similarity measure