Kernel-based mixture models for classification.
Alejandro MuruaNicolas WickerPublished in: Comput. Stat. (2015)
Keyphrases
- mixture model
- density estimation
- model selection
- gaussian mixture model
- unsupervised learning
- generative model
- support vector machine
- support vector
- em algorithm
- decision trees
- probabilistic model
- pattern recognition
- expectation maximization
- machine learning
- classification accuracy
- subspace analysis
- image classification
- mixture modeling
- probability density function
- class labels
- discriminative learning
- model based clustering
- finite mixture models
- supervised learning
- feature selection
- cross validation
- missing data
- multiple kernel learning
- multi class
- feature vectors
- feature extraction
- computer vision