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» Combining Methods for Dynamic Multiple Classifier Systems
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UAI
2008
15 years 5 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
156
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CODES
2010
IEEE
15 years 1 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
TCBB
2008
117views more  TCBB 2008»
15 years 3 months ago
Consensus Genetic Maps as Median Orders from Inconsistent Sources
A genetic map is an ordering of genetic markers calculated from a population of known lineage. Although, traditionally, a map has been generated from a single population for each s...
Benjamin G. Jackson, Patrick S. Schnable, Srinivas...
ICRA
2006
IEEE
107views Robotics» more  ICRA 2006»
15 years 10 months ago
Improving Telerobotic Touch via High-frequency Acceleration Matching
— Humans rely on information-laden high-frequency accelerations in addition to quasi-static forces when interacting with objects via a handheld tool. Telerobotic systems have tra...
Katherine J. Kuchenbecker, Günter Niemeyer
137
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IJCV
2000
195views more  IJCV 2000»
15 years 3 months ago
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
Optical flow provides a constraint on the motion of a deformable model. We derive and solve a dynamic system incorporating flow as a hard constraint, producing a model-based least...
Douglas DeCarlo, Dimitris N. Metaxas