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» Theory and Network Applications of Dynamic Bloom Filters
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IPSN
2004
Springer
14 years 28 days ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
AINA
2006
IEEE
13 years 9 months ago
DiVES: A Distributed Support for Networked Virtual Environments
This paper presents DiV ES, a distributed support for the development of networked Distributed Virtual Environments. DiV ES exploits the publish subscribe interaction model to def...
A. Bonotti, Luca Genovali, Laura Ricci
FAST
2004
13 years 9 months ago
Diamond: A Storage Architecture for Early Discard in Interactive Search
This paper explores the concept of early discard for interactive search of unindexed data. Processing data inside storage devices using downloaded searchlet code enables Diamond t...
Larry Huston, Rahul Sukthankar, Rajiv Wickremesing...
ICMLA
2007
13 years 9 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
WWW
2004
ACM
14 years 8 months ago
Best bets: thousands of queries in search of a client
A number of applications require selecting targets for specific contents on the basis of criteria defined by the contents providers rather than selecting documents in response to ...
Giuseppe Attardi, Andrea Esuli, Maria Simi