Learning mixture models with support vector machines for sequence classification and segmentation.
Trinh Minh Tri DoThierry ArtièresPublished in: Pattern Recognit. (2009)
Keyphrases
- mixture model
- sequence classification
- unsupervised learning
- learning process
- model selection
- machine learning
- maximum likelihood
- discriminative learning
- sequence data
- em algorithm
- supervised learning
- probabilistic model
- prior knowledge
- image segmentation
- learning algorithm
- hidden markov models
- reinforcement learning
- gaussian mixture model
- inductive inference
- active learning
- pattern recognition
- segmentation algorithm
- segmentation method
- object segmentation
- image processing