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INFOCOM
2008
IEEE
14 years 4 months ago
Utility-Driven Spatiotemporal Sampling Using Mobile Sensors
Many real-world applications for sensor networks require event sampling with sufficient resolution over both spatial and temporal dimensions. When the deployed nodes are insuffi...
Yang Yu, Loren J. Rittle
CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 10 months ago
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Namrata Vaswani
PAKDD
2010
ACM
222views Data Mining» more  PAKDD 2010»
14 years 2 months ago
Online Sampling of High Centrality Individuals in Social Networks
In this work, we investigate the use of online or “crawling” algorithms to sample large social networks in order to determine the most influential or important individuals wit...
Arun S. Maiya, Tanya Y. Berger-Wolf
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 11 months ago
New Sampling-Based Estimators for OLAP Queries
One important way in which sampling for approximate query processing in a database environment differs from traditional applications of sampling is that in a database, it is feasi...
Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gaga...
LION
2009
Springer
210views Optimization» more  LION 2009»
14 years 4 months ago
Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows
Beam-ACO algorithms are hybrid methods that combine the metaheuristic ant colony optimization with beam search. They heavily rely on accurate and computationally inexpensive boundi...
Manuel López-Ibáñez, Christia...