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» Data Dependent Power Use in Multipliers
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ICPR
2008
IEEE
14 years 8 months ago
Preceding car tracking using belief functions and a particle filter
This article presents a preceding car rear view tracking algorithm which utilizes a particle filter and belief function data fusion. Most of tracking applications resort to only o...
Christèle Lecomte, John Klein, Pierre Mich&...
WWW
2009
ACM
14 years 8 months ago
Playful tagging: folksonomy generation using online games
Collaborative Tagging is a powerful method to create folksonomies that can be used to grasp/filter user preferences or enhance web search. Recent research has shown that depending...
Markus Krause, Hidir Aras
JMLR
2010
169views more  JMLR 2010»
13 years 2 months ago
Consensus-Based Distributed Support Vector Machines
This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication to a centralized processing unit...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...
INFOCOM
2011
IEEE
12 years 10 months ago
Dissemination in opportunistic mobile ad-hoc networks: The power of the crowd
—Opportunistic ad-hoc communication enables portable devices such as smartphones to effectively exchange information, taking advantage of their mobility and locality. The nature ...
Gjergji Zyba, Geoffrey M. Voelker, Stratis Ioannid...
BMCBI
2010
165views more  BMCBI 2010»
13 years 7 months ago
Filtering, FDR and power
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
Maarten van Iterson, Judith M. Boer, Renée ...