SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification.
Yun CaoJie MeiYuebin WangLiqiang ZhangJunhuan PengBing ZhangLihua LiYibo ZhengPublished in: CoRR (2020)
Keyphrases
- subspace learning
- conditional random fields
- hyperspectral image classification
- active learning
- hyperspectral
- hyperspectral images
- dimensionality reduction
- crf model
- generative model
- graphical models
- semi supervised
- probabilistic model
- hidden markov models
- data representation
- sparse coding
- learning algorithm
- information extraction
- higher order
- manifold learning
- pairwise
- markov random field
- face recognition
- sparse representation
- low dimensional
- principal component analysis
- machine learning
- high dimensional data
- training set
- bayesian networks
- feature extraction
- decision trees
- image representation
- pattern recognition
- prior knowledge
- support vector machine
- computer vision