A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification.
Amer DelilbasicBertrand Le SauxMorris RiedelKristel MichielsenGabriele CavallaroPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2024)
Keyphrases
- multi class
- support vector machine
- multiclass classification
- remote sensing data
- single step
- binary classifiers
- cost sensitive classification
- multiclass problems
- multi class classification
- multiclass support vector machines
- multiple classes
- cost sensitive
- multi class classifier
- support vector
- support vector machine svm
- binary classification
- svm classifier
- feature selection
- remote sensing
- kernel fisher
- binary classification problems
- multiclass svm
- machine learning
- svm classification
- error correcting output codes
- classification accuracy
- multispectral
- pattern recognition
- feature vectors
- pairwise
- text classification
- multi task
- perceptron algorithm
- image classification
- kernel function
- training data
- feature extraction
- k nearest neighbor
- cost sensitive learning
- image data
- cross validation
- linear combination
- training set
- multiclass learning
- image processing