Learning sparse features for classification by mixture models.
Weixiang LiuNanning ZhengPublished in: Pattern Recognit. Lett. (2004)
Keyphrases
- mixture model
- unsupervised learning
- supervised learning
- feature vectors
- feature space
- density estimation
- learning algorithm
- gaussian mixture model
- classification accuracy
- dictionary learning
- prior knowledge
- learning process
- feature extraction
- class labels
- feature selection
- generative model
- feature set
- image classification
- sparse representation
- support vector machine
- model selection
- em algorithm
- image features
- training set
- machine learning
- knn
- training examples
- probabilistic model
- active learning
- image segmentation
- information retrieval