A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification.
Amer DelilbasicBertrand Le SauxMorris RiedelKristel MichielsenGabriele CavallaroPublished in: CoRR (2023)
Keyphrases
- multi class
- support vector machine
- multiclass classification
- single step
- remote sensing data
- binary classifiers
- multiclass problems
- multiclass support vector machines
- multi class classifier
- cost sensitive
- multi class classification
- cost sensitive classification
- multiple classes
- support vector machine svm
- feature selection
- binary classification problems
- support vector
- error correcting output codes
- binary classification
- svm classification
- svm classifier
- kernel fisher
- classification accuracy
- machine learning
- feature space
- feature vectors
- feature extraction
- pattern recognition
- multispectral
- pairwise
- perceptron algorithm
- remote sensing images
- neural network
- remote sensing
- base classifiers
- land cover
- unsupervised learning
- model selection
- training samples
- active learning
- kernel function
- multi step
- supervised classification
- hyperplane
- image processing
- multiclass svm