Learning Object Detection from a Small Number of Examples: The Importance of Good Features.
Kobi LeviYair WeissPublished in: CVPR (2) (2004)
Keyphrases
- object detection
- small number
- prior knowledge
- learning models
- learning problems
- learning process
- learning systems
- visual recognition
- low level
- learning tasks
- training examples
- positive examples
- supervised learning
- feature space
- feature construction
- neural network
- learning algorithm
- positive training examples
- sample selection bias
- test images
- background knowledge
- face detection
- knowledge acquisition
- active learning
- learning environment
- feature extraction
- feature selection