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ICASSP
2009
IEEE
13 years 9 months ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III
CASES
2006
ACM
13 years 9 months ago
Probabilistic arithmetic and energy efficient embedded signal processing
Probabilistic arithmetic, where the ith output bit of addition and multiplication is correct with a probability pi, is shown to be a vehicle for realizing extremely energy-efficie...
Jason George, B. Marr, Bilge E. S. Akgul, Krishna ...
ADHOCNOW
2004
Springer
13 years 11 months ago
Cross-Layer Optimization for High Density Sensor Networks: Distributed Passive Routing Decisions
Abstract. The resource limited nature of WSNs require that protocols implemented on these networks be energy-efficient, scalable and distributed. This paper presents an analysis of...
Primoz Skraba, Hamid K. Aghajan, Ahmad Bahai
CVPR
2003
IEEE
14 years 7 months ago
PAMPAS: Real-Valued Graphical Models for Computer Vision
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
Michael Isard
ICDCS
2007
IEEE
13 years 12 months ago
Protocol Design and Optimization for Delay/Fault-Tolerant Mobile Sensor Networks
While extensive studies have been carried out in the past several years for many sensor applications, they cannot be applied to the network with extremely low and intermittent con...
Yu Wang, Hongyi Wu, Feng Lin, Nian-Feng Tzeng