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SOSP
2001
ACM
15 years 6 months ago
Building Efficient Wireless Sensor Networks with Low-Level Naming
In most distributed systems, naming of nodes for low-level communication leveragestopologicallocation(such as node addresses) and is independentof any application. In this paper, ...
John S. Heidemann, Fabio Silva, Chalermek Intanago...
ICIP
2008
IEEE
15 years 11 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
AAAI
2012
13 years 6 days ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
CCS
2006
ACM
15 years 1 months ago
An efficient key establishment scheme for secure aggregating sensor networks
Key establishment is a fundamental prerequisite for secure communication in wireless sensor networks. A new node joining the network needs to efficiently and autonomously set up s...
Erik-Oliver Blaß, Martina Zitterbart
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 1 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani