Semi-supervised hyperspectral image classification using a new (soft) sparse multinomial logistic regression model.
Jun LiJosé M. Bioucas-DiasAntonio J. PlazaPublished in: WHISPERS (2011)
Keyphrases
- regression model
- hyperspectral image classification
- semi supervised
- active learning
- generalized linear models
- group lasso
- logistic regression
- semi supervised learning
- hyperspectral images
- labeled data
- gaussian process
- hyperspectral
- regression analysis
- model selection
- regression methods
- naive bayes
- probabilistic model
- unsupervised learning
- learning algorithm
- text classification
- explanatory variables
- em algorithm
- linear regression model
- high dimensional
- multivariate regression
- remote sensing
- response variable
- interval valued data
- random sampling
- random projections
- gaussian processes
- low rank
- text categorization
- expectation maximization
- pairwise
- semi parametric
- survival analysis
- hyperspectral data
- least squares
- training set
- feature selection