Global feature space neural network for active computer vision.
Michael A. SipeDavid P. CasasentPublished in: Neural Comput. Appl. (1998)
Keyphrases
- dimension reduction
- feature space
- computer vision
- neural network
- principal component analysis
- low dimensional
- pattern recognition
- feature selection
- object recognition
- artificial neural networks
- image processing
- dimensionality reduction
- object detection
- vision system
- machine learning
- kernel function
- image understanding
- classification accuracy
- computer graphics
- action recognition
- mean shift
- image segmentation
- genetic algorithm
- prediction model
- multi layer
- high dimensional feature space
- shape matching
- network architecture
- global information
- computer vision algorithms
- neural network is trained