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» Learning Visual Invariance
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ML
2006
ACM
109views Machine Learning» more  ML 2006»
13 years 8 months ago
Cost curves: An improved method for visualizing classifier performance
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...
Chris Drummond, Robert C. Holte
ECCV
2008
Springer
13 years 10 months ago
Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors
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 ...
Charles Bibby, Ian D. Reid
AAAI
2004
13 years 9 months ago
VModel: A Visual Qualitative Modeling Environment for Middle-School Students
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, ...
AI
2007
Springer
14 years 9 days ago
Performance Measures in Classification of Human Communications
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...
Marina Sokolova, Guy Lapalme
ICRA
2003
IEEE
141views Robotics» more  ICRA 2003»
14 years 1 months ago
Visual transformations in gesture imitation: what you see is what you do
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...
Manuel Cabido-Lopes, José Santos-Victor