Tensor Subspace Learning and Classification: Tensor Local Discriminant Embedding for Hyperspectral Image.
Lei HeHongwei YangLina ZhaoPublished in: ICCV Workshops (2019)
Keyphrases
- subspace learning
- hyperspectral images
- dimensionality reduction
- subspace learning algorithm
- manifold learning
- pattern classification
- pattern recognition
- fisher criterion
- feature extraction
- graph embedding
- higher order
- face recognition
- hyperspectral
- supervised learning
- sparse representation
- high dimensionality
- principal component analysis
- feature space
- locality preserving projections
- remote sensing
- data representation
- feature selection
- high dimensional
- data analysis
- low dimensional
- unsupervised learning
- computer vision
- label information
- image classification
- dimension reduction
- support vector machine svm
- data sets
- feature vectors
- training set
- support vector
- image processing
- machine learning