A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification.
Andrea BaraldiLorenzo BruzzonePalma BlondaPublished in: IEEE Trans. Image Process. (2006)
Keyphrases
- image classification
- multiscale
- expectation maximization
- image representation
- svm classifier
- classifier training
- em algorithm
- semi supervised
- mixture model
- feature extraction
- bag of words
- image segmentation
- image processing
- training data
- scale space
- support vector
- class specific
- maximum likelihood
- probabilistic model
- class conditional
- image features
- natural images
- training set
- svm classification
- unlabeled samples
- feature selection
- visual words
- generative model
- classification scheme
- gaussian mixture model
- multi label
- probability density function
- coarse to fine
- classification method
- weak classifiers
- training examples
- unsupervised learning
- machine learning
- feature space
- computer vision