Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability.
Dong WuMingmin ChiXuan ZangBo PengPublished in: AAAI (2024)
Keyphrases
- multi task
- hyperspectral images
- multi task learning
- gaussian processes
- latent factors
- learning tasks
- factor analysis
- matrix factorization
- nonnegative matrix factorization
- transfer learning
- hyperspectral
- multi class
- independent component analysis
- learning problems
- feature selection
- hyperspectral imagery
- topic models
- prior knowledge
- bayesian networks
- latent variables
- machine learning
- signal processing
- supervised learning
- implicit feedback
- learning algorithm