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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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CODES
2010
IEEE
13 years 5 months ago
Worst-case performance analysis of synchronous dataflow scenarios
Synchronous Dataflow (SDF) is a powerful analysis tool for regular, cyclic, parallel task graphs. The behaviour of SDF graphs however is static and therefore not always able to ac...
Marc Geilen, Sander Stuijk
TMI
2010
208views more  TMI 2010»
13 years 2 months ago
Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE
As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best ...
Razvan Ioan Ionasec, Ingmar Voigt, Bogdan Georgesc...
AUSAI
1999
Springer
14 years 1 days ago
Generating Rule Sets from Model Trees
Model trees—decision trees with linear models at the leaf nodes—have recently emerged as an accurate method for numeric prediction that produces understandable models. However,...
Geoffrey Holmes, Mark Hall, Eibe Frank
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
14 years 2 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
CVPR
2007
IEEE
14 years 9 months ago
A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu