A globally optimal fast iterative linear maximum likelihood classifier.
Prasanna Reddy PulakurthiSohail A. DianatMajid RabbaniSuya YouRaghuveer M. RaoPublished in: Computational Imaging (2023)
Keyphrases
- globally optimal
- maximum likelihood
- graph cuts
- global optimality
- discriminant function
- locally optimal
- optimal decisions
- surface segmentation
- feature selection
- feature set
- training data
- window search
- decision trees
- linear classifiers
- gauss seidel
- convex relaxation
- em algorithm
- feature space
- support vector
- markov random field
- support vector machine
- learning algorithm