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CIKM
2009
Springer
15 years 4 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
83
Voted
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
15 years 7 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
91
Voted
ICCV
2011
IEEE
13 years 9 months ago
Dense Disparity Maps from Sparse Disparity Measurements
In this work we propose a method for estimating disparity maps from very few measurements. Based on the theory of Compressive Sensing, our algorithm accurately reconstructs dispar...
Simon Hawe, Martin Kleinsteuber, Klaus Diepold
RAID
2005
Springer
15 years 3 months ago
Virtual Playgrounds for Worm Behavior Investigation
To detect and defend against Internet worms, researchers have long hoped to have a safe convenient environment to unleash and run real-world worms for close observation of their in...
Xuxian Jiang, Dongyan Xu, Helen J. Wang, Eugene H....
CHI
2010
ACM
15 years 4 months ago
Gender demographic targeting in sponsored search
In this research, we evaluate the effect of gender in analyzing the performance of sponsored search advertising. We examine a log file with data comprised of nearly 7,000,000 reco...
Bernard J. Jansen, Lauren Solomon