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TSMC
2008
177views more  TSMC 2008»
15 years 5 months ago
Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
JMLR
2010
132views more  JMLR 2010»
15 years 1 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...
IJON
2011
90views more  IJON 2011»
14 years 10 months ago
Fault tolerant machine learning for nanoscale cognitive radio
We introduce a machine learning based classifier that identifies free radio channels for cognitive radio. The architecture is designed for nanoscale implementation, under nanosc...
Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo
CVPR
2007
IEEE
16 years 8 months ago
Trajectory Association across Non-overlapping Moving Cameras in Planar Scenes
The ability to associate objects across multiple views allows co-operative use of an ensemble cameras for scene understanding. In this paper, we present a principled solution to o...
Yaser Sheikh, Xin Li, Mubarak Shah
WWW
2004
ACM
16 years 7 months ago
CC-Buddy: an adaptive framework for maintaining cache coherency using peers
In this paper, we propose a framework called CC-Buddy, for maintaining dynamic data coherency in peer-to-peer environment. Working on the basis of peer heterogeneity in data coher...
Song Gao, Wee Siong Ng, Weining Qian, Aoying Zhou