Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures.
Johannes HartzPublished in: ICMLA (2009)
Keyphrases
- supervised learning
- pattern recognition
- prior knowledge
- learning phase
- machine learning
- bayesian networks
- latent variable models
- learning process
- complex structures
- unsupervised learning
- support vector machine svm
- learning algorithm
- graph representation
- incremental learning
- feature vectors
- learning tasks
- generative model
- image structure
- graph structure
- inductive inference
- model selection
- training set
- discriminative learning
- support vector
- graph structures
- multi category