Image and brain: the resolution of the imagery debate
Image and brain: the resolution of the imagery debate
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
An active vision architecture based on iconic representations
Artificial Intelligence - Special volume on computer vision
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Learning to Predict by the Methods of Temporal Differences
Machine Learning
ADORE: Adaptive Object Recognition
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Alignment by maximization of mutual information
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Journal of Cognitive Neuroscience
Adapting Object Recognition across Domains: A Demonstration
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
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Recent psychological and neurological evidence suggests that biological object recognition is a process of matching sensed images to stored iconic memories. This paper presents a partial implementation of (our interpretation of) Kosslyn's biological vision model, with a control system added to it. We then show how reinforcement learning can be used to control and optimize recognition in an unsupervised learning mode, where the result of image matching is used as the reward signal to optimize earlier stages of processing.