Learning Sparse Mixture Models for Discriminative Classification.
Weixiang LiuNanning ZhengSongfeng ZhengPublished in: Int. J. Pattern Recognit. Artif. Intell. (2006)
Keyphrases
- mixture model
- unsupervised learning
- supervised learning
- discriminative learning
- model selection
- generative model
- pattern recognition
- bayesian network classifiers
- learning algorithm
- gaussian mixture model
- density estimation
- support vector machine
- probabilistic model
- feature extraction
- machine learning
- multi class
- active learning
- finite mixtures
- feature vectors
- dictionary learning
- bayesian networks
- decision trees
- computer vision
- sparse coding
- mixture modeling
- automatic model selection
- probability density function
- cross validation
- class labels
- em algorithm
- maximum likelihood
- text classification
- image classification
- prior knowledge
- feature selection