Semisupervised Image Classification With Laplacian Support Vector Machines.
Luis Gómez-ChovaGustavo Camps-VallsJordi Muñoz-MaríJavier CalpePublished in: IEEE Geosci. Remote. Sens. Lett. (2008)
Keyphrases
- image classification
- support vector
- large margin classifiers
- learning machines
- sparse coding
- svm classifier
- semi supervised
- svm classification
- bag of words
- support vector machine
- feature extraction
- image features
- binary classification
- bag of features
- sparse representation
- multi label
- logistic regression
- kernel function
- classification accuracy
- loss function
- cross validation
- data sets
- generalization ability
- feature selection
- image representation
- kernel methods
- edge detection
- visual words
- machine learning
- training examples
- multi class classification
- learning algorithm
- maximum margin
- class specific
- neural network