Using Linking Features in Learning Non-parametric Part Models.
Leonid KarlinskyShimon UllmanPublished in: ECCV (3) (2012)
Keyphrases
- prior knowledge
- learning models
- learned models
- learning algorithm
- learning systems
- accurate models
- classification models
- complex systems
- feature representations
- unsupervised learning
- online learning
- image features
- abstraction levels
- statistical models
- learning problems
- learning process
- feature vectors
- feature extraction
- knowledge acquisition
- reinforcement learning
- feature space
- learning rules
- inductive inference
- hidden variables
- neural nets
- learning tasks
- mobile learning
- probabilistic model
- model selection