Tensor Nuclear Norm Based Matrix Regression Based Projections for Feature Extraction of Hyperspectral Images.
Hong QiuHeng JinRenfang WangXiufeng LiuGuang GaoPublished in: CSCWD (2023)
Keyphrases
- hyperspectral images
- nuclear norm
- low rank
- feature extraction
- low rank matrix
- high order
- singular values
- tensor decomposition
- matrix completion
- hyperspectral
- singular value decomposition
- rank minimization
- dimensionality reduction
- convex optimization
- linear combination
- missing data
- minimization problems
- remote sensing
- high dimensional data
- matrix factorization
- multispectral
- data matrix
- dimension reduction
- higher order
- feature selection
- image processing
- multispectral images
- norm minimization
- kernel matrix
- principal component analysis
- semi supervised
- feature vectors
- face recognition
- linear discriminant analysis
- sparse matrix
- rows and columns
- computer vision
- wavelet transform
- image segmentation
- data sets
- interior point methods
- image reconstruction
- collaborative filtering
- multiresolution
- pairwise
- object recognition
- pattern recognition