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» Using model knowledge for learning inverse dynamics
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MICCAI
2010
Springer
13 years 7 months ago
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
Chaohui Wang, Olivier Teboul, Fabrice Michel, Salm...
ICRA
2008
IEEE
265views Robotics» more  ICRA 2008»
14 years 3 months ago
Trajectory generation for dynamic bipedal walking through qualitative model based manifold learning
— Legged robots represent great promise for transport in unstructured environments. However, it has been difficult to devise motion planning strategies that achieve a combinatio...
Subramanian Ramamoorthy, Benjamin Kuipers
ISRR
2005
Springer
178views Robotics» more  ISRR 2005»
14 years 2 months ago
Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
A vision-based automatic tracking system for ocean animals in the midwater has been demonstrated in Monterey Bay, CA. Currently, the input to this system is a measurement of relati...
Aaron Plotnik, Stephen Rock
IFIP
2004
Springer
14 years 2 months ago
The Inherent Queuing Delay of Parallel Packet Switches
The parallel packet switch (PPS) extends the inverse multiplexing architecture, and is extensively used as the core of contemporary commercial switches. A key factor in the perfor...
Hagit Attiya, David Hay
ALT
2008
Springer
14 years 5 months ago
Learning with Continuous Experts Using Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Indraneel Mukherjee, Robert E. Schapire