A Low-Rank Tensor Decomposition Based Hyperspectral Image Compression Algorithm.
Mengfei ZhangBo DuLefei ZhangXuelong LiPublished in: PCM (1) (2016)
Keyphrases
- tensor decomposition
- compression algorithm
- low rank
- hyperspectral
- image compression
- linear combination
- missing data
- compression ratio
- matrix factorization
- convex optimization
- high order
- bitstream
- matrix completion
- low rank matrix
- semi supervised
- image data
- high dimensional data
- singular value decomposition
- rank minimization
- machine learning
- data representation
- computer vision
- image classification
- collaborative filtering
- pairwise