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SOSP
2001
ACM
15 years 9 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...
110
Voted
ICIP
2008
IEEE
16 years 2 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 2 months 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 4 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 4 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