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» Estimation in sensor networks: a graph approach
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DCC
2006
IEEE
16 years 5 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
15 years 11 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»
16 years 22 days 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
15 years 7 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
16 years 4 days 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...