The effect of mis-labeled training data on the accuracy of supervised image classification by SVM.
Giles M. FoodyPublished in: IGARSS (2015)
Keyphrases
- image classification
- labeled training data
- supervised learning
- training data
- support vector machine svm
- text classifiers
- labeled data
- svm classifier
- semi supervised
- support vector
- unlabeled data
- text classification
- feature selection
- supervised methods
- knn
- semi supervised learning
- support vector machine
- multi class
- machine learning
- data sets
- learning algorithm
- co training
- feature extraction
- training set
- classification accuracy
- machine learning algorithms
- text data
- image representation
- labeled and unlabeled data
- unsupervised learning
- multi view