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» Estimation in sensor networks: a graph approach
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DCC
2006
IEEE
14 years 7 months ago
Joint Source-Channel Decoding of Multiple Description Quantized Markov Sequences
This paper proposes a framework for joint source-channel decoding of Markov sequences that are coded by a fixed-rate multiple description quantizer (MDQ), and transmitted via a lo...
Xiaolin Wu, Xiaohan Wang
AMAI
2004
Springer
14 years 1 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
ICC
2009
IEEE
148views Communications» more  ICC 2009»
14 years 2 months ago
Analysis of Probabilistic Flooding: How Do We Choose the Right Coin?
Abstract—This paper studies probabilistic information dissemination in random networks. Consider the following scenario: A node intends to deliver a message to all other nodes in...
Sérgio Crisóstomo, Udo Schilcher, Ch...
DAIS
2009
13 years 8 months ago
Fault-Tolerant Aggregation by Flow Updating
Data aggregation plays an important role in the design of scalable systems, allowing the determination of meaningful system-wide properties to direct the execution of distributed a...
Paulo Jesus, Carlos Baquero, Paulo Sérgio A...
LOCA
2007
Springer
14 years 1 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...