Supervised learning of Gaussian mixture models for visual vocabulary generation.
Basura FernandoÉlisa FromontDamien MuseletMarc SebbanPublished in: Pattern Recognit. (2012)
Keyphrases
- gaussian mixture model
- visual vocabulary
- visual words
- supervised learning
- bag of visual words
- feature vectors
- mixture model
- em algorithm
- feature space
- probability density function
- unsupervised learning
- image descriptors
- expectation maximization
- background subtraction
- maximum likelihood
- object retrieval
- bag of features
- image collections
- visual content
- image retrieval
- training data
- bag of words
- scene classification
- learning algorithm
- co occurrence
- training set
- semi supervised
- active learning
- machine learning
- image classification
- bayesian networks
- image content
- random forest
- image representation