Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories.
Li Fei-FeiRobert FergusPietro PeronaPublished in: Comput. Vis. Image Underst. (2007)
Keyphrases
- training examples
- object categories
- object categorization
- learning algorithm
- supervised learning
- active learning
- generative model
- object classes
- training data
- training set
- small number
- learning process
- positive examples
- support vector
- object recognition
- object detectors
- unsupervised learning
- set of training examples
- object detection
- training samples
- unlabeled data
- probabilistic model
- prior knowledge
- labeled data
- high dimensional
- reinforcement learning
- high quality
- bounding box
- decision trees
- feature selection
- information retrieval
- category specific
- data sets