Combination of sparse and semi-supervised learning for classification of hyperspectral images.
Muhammet Said AydemirGökhan BilginPublished in: SIU (2015)
Keyphrases
- semi supervised learning
- hyperspectral images
- supervised learning
- semi supervised
- unlabeled data
- semi supervised classification
- improve the classification accuracy
- co training
- hyperspectral data
- labeled data
- unsupervised learning
- hyperspectral
- transductive support vector machine
- semi supervised learning algorithms
- labeled and unlabeled data
- machine learning
- active learning
- training data
- classification accuracy
- remote sensing
- unlabeled samples
- random projections
- class labels
- partially labeled
- multispectral
- supervised classification
- pattern recognition
- support vector
- image classification
- multiple kernel learning
- decision trees
- multispectral images
- feature vectors
- object detection
- neural network
- feature extraction
- high dimensional
- text classification
- co occurrence