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AROBOTS
2011
14 years 11 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
ICRA
2000
IEEE
122views Robotics» more  ICRA 2000»
15 years 8 months ago
Application of a Model-Free Algorithm for the Packing of Irregular Shaped Objects in Semiconductor Manufacture
A Robotic System is being developed to automate the crucible packing process in the CZ semiconductor wafer production. It requires the delicate manipulation and packing of highly ...
Vivek A. Sujan, Steven Dubowsky
ICS
2001
Tsinghua U.
15 years 8 months ago
Analytical cache models with applications to cache partitioning
An accurate, tractable, analytic cache model for time-shared systems is presented, which estimates the overall cache missrate of a multiprocessing system with any cache size and t...
G. Edward Suh, Srinivas Devadas, Larry Rudolph
ER
2007
Springer
122views Database» more  ER 2007»
15 years 10 months ago
An e-Process Selection Model
1 A number of e-Processes (i.e. software processes for developing e-Commerce information systems) exist in industry. We presuppose that for a subclass of these their targeted quali...
Roland Kaschek, Frina Albertyn, Vladimir A. Shekho...
127
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IJCAI
2007
15 years 5 months ago
WiFi-SLAM Using Gaussian Process Latent Variable Models
WiFi localization, the task of determining the physical location of a mobile device from wireless signal strengths, has been shown to be an accurate method of indoor and outdoor l...
Brian Ferris, Dieter Fox, Neil D. Lawrence