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16 years 7 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
DAC
2005
ACM
15 years 10 months ago
Designing logic circuits for probabilistic computation in the presence of noise
As Si CMOS devices are scaled down into the nanoscale regime, current computer architecture approaches are reaching their practical limits. Future nano-architectures will confront...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...
ACIVS
2007
Springer
15 years 3 months ago
Spatiotemporal Fusion Framework for Multi-camera Face Orientation Analysis
In this paper, we propose a collaborative technique for face orientation estimation in smart camera networks. The proposed spatiotemporal feature fusion analysis is based on active...
Chung-Ching Chang, Hamid K. Aghajan
LOCA
2007
Springer
15 years 3 months ago
SocialMotion: Measuring the Hidden Social Life of a Building
In this paper we present an approach to analyzing the social behaviors that occur in a typical office space. We describe a system consisting of over 200 motion sensors connected ...
Christopher Richard Wren, Yuri A. Ivanov, Ishwinde...
SIGMETRICS
2010
ACM
173views Hardware» more  SIGMETRICS 2010»
15 years 2 months ago
Channel fragmentation in dynamic spectrum access systems: a theoretical study
Dynamic Spectrum Access systems exploit temporarily available spectrum (‘white spaces’) and can spread transmissions over a number of non-contiguous sub-channels. Such methods...
Edward G. Coffman Jr., Philippe Robert, Florian Si...