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» Robust Induction of Process Models from Time-Series Data
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ICIP
2009
IEEE
15 years 10 months ago
Learning Large Margin Likelihoods For Realtime Head Pose Tracking
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...
IJCAI
2003
14 years 11 months ago
Where is ...? Learning and Utilizing Motion Patterns of Persons with Mobile Robots
Whenever people move through their environments they do not move randomly. Instead, they usually follow specific trajectories or motion patterns corresponding to their intentions....
Grzegorz Cielniak, Maren Bennewitz, Wolfram Burgar...
CVPR
2007
IEEE
15 years 4 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
MICCAI
2007
Springer
15 years 10 months ago
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh
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ICRA
2000
IEEE
141views Robotics» more  ICRA 2000»
15 years 2 months ago
An Analytical Method to Eliminate the Redundant Parameters in Robot Calibration
Model based error compensation of a robotic manipulator, also known as robot calibration, requires the identification of its generalized errors. These errors are found from measur...
Marco A. Meggiolaro, Steven Dubowsky