Symbolic visual learning

1. The Visual Learning Problem 2. MULTI-HASH: Learning Object Attributes and Hash Tables for Fast 3D Object Recognition 3. Learning Control Strategies for Object Recognition 4. PADO: A New Learning Architecture for Object Recognition 5. Learning Organization Hierarchies of Large Modelbases for Fast Recognition 6. Application of Machine Learning in Function-Based Recognition 7. Learning a Visual Model and an Image Processing Strategy from a Series of Silhouette Images on MIRACLE-IV 8. Assembly Plan from Observation 9. Visual Event Perception 10. A Knowledge Framework for Seeing and Learning 11. Explanation Based Learning for Mobile Robot Perception 12. Navigation with Landmarks: Computing Goal Locations from Place Codes