Search Results for author:
Found 2 papers, 0 papers with code
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images
Here a consensus-constrained parsimonious Gaussian mixture model (ccPGMM) is proposed to label pixels in hyperspectral images using a model-based clustering approach.
Unobserved classes and extra variables in high-dimensional discriminant analysis
In supervised classification problems, the test set may contain data points belonging to classes not observed in the learning phase.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
