Learning optimal features for visual pattern recognition.
Kai LabuschUdo SiewertThomas MartinetzErhardt BarthPublished in: Human Vision and Electronic Imaging (2007)
Keyphrases
- pattern recognition
- low level
- prior knowledge
- image processing
- feature extraction
- learning algorithm
- learning models
- worst case
- knowledge acquisition
- co occurrence
- visual learning
- learning machines
- learning tasks
- visual information
- unsupervised learning
- neural network
- learning process
- machine learning
- feature set
- online learning
- dynamic programming
- feature vectors
- learning problems
- optimal solution
- extracted features
- visual cues
- computer vision
- visual representation
- learned models