Biophysical Parameter Estimation With a Semisupervised Support Vector Machine.
Gustavo Camps-VallsJordi Muñoz-MaríLuis Gómez-ChovaKatja RichterJavier Calpe-MaravillaPublished in: IEEE Geosci. Remote. Sens. Lett. (2009)
Keyphrases
- parameter estimation
- support vector machine
- semi supervised
- model selection
- maximum likelihood
- least squares
- svm classifier
- parameter values
- support vector
- em algorithm
- statistical models
- markov random field
- random fields
- parameter estimation algorithm
- posterior distribution
- training data
- expectation maximization
- maximum likelihood estimation
- approximate inference
- parameters estimation
- feature vectors
- gibbs sampling
- feature selection
- feature space
- training set
- structure learning
- machine learning
- model fitting
- three dimensional
- shape model
- pairwise
- estimation problems
- generative model