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» Learning in a Large-Scale Pervasive Environment
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CCGRID
2008
IEEE
14 years 2 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
IROS
2009
IEEE
198views Robotics» more  IROS 2009»
14 years 2 months ago
Scalable learning for object detection with GPU hardware
Abstract— We consider the problem of robotic object detection of such objects as mugs, cups, and staplers in indoor environments. While object detection has made significant pro...
Adam Coates, Paul Baumstarck, Quoc V. Le, Andrew Y...
ESWA
2006
176views more  ESWA 2006»
13 years 7 months ago
Build grid-enabled large-scale collaboration environment in e-Learning grid
As a new branch of grid computing, e-Learning grid is emerging as a nationwide e-Learning infrastructure, which can provide innovative learning experience for learners. In such a ...
YuShun Li, ShengWen Yang, Jinlei Jiang, Meilin Shi
AAAI
2007
13 years 10 months ago
Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning
Accurately locating users in a wireless environment is an important task for many pervasive computing and AI applications, such as activity recognition. In a WiFi environment, a m...
Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffr...
PERCOM
2006
ACM
14 years 7 months ago
Situation Determination with Reusable Situation Specifications
Automatically determining the situation of an ad-hoc group of people and devices within a smart environment is a significant challenge in pervasive computing systems. Current appr...
Graham Thomson, Sotirios Terzis, Paddy Nixon