Abstract This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possib...
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
Learning how to create, test, and revise models is a central skill in scientific reasoning. We argue that qualitative modeling provides an appropriate level of representation for ...
Kenneth D. Forbus, Karen Carney, Bruce L. Sherin, ...
This study emphasizes the importance of using appropriate measures in particular text classification settings. We focus on methods that evaluate how well a classifier performs. The...
We propose an approach for a robot to imitate the gestures of a human demonstrator. Our framework consists solely of two components: a Sensory-Motor Map (SMM) and a View-Point Tra...