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MICCAI
2009
Springer
15 years 10 months ago
A Fast Alternative to Computational Fluid Dynamics for High Quality Imaging of Blood Flow
Obtaining detailed, patient-specific blood flow information would be very useful in detecting and monitoring cardio-vascular diseases. Current approaches rely on computational flui...
Robert H. P. McGregor, Dominik Szczerba, Krishnamu...
CVPR
2006
IEEE
15 years 3 months ago
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
AGTIVE
2007
Springer
15 years 1 months ago
Transforming Timeline Specifications into Automata for Runtime Monitoring
Abstract. In runtime monitoring, a programmer specifies code to execute whenever a sequence of events occurs during program execution. Previous and related work has shown that runt...
Eric Bodden, Hans Vangheluwe
ATAL
2005
Springer
15 years 3 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
SI3D
1992
ACM
15 years 1 months ago
Volume Seedlings
Recent advances in software and hardware technology have made direct ray-traced volume rendering of 3-d scalar data a feasible and effective method for imaging of the data's ...
Michael F. Cohen, James S. Painter, Mihir Mehta, K...