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» Large-scale behavioral targeting
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ECCV
2008
Springer
15 years 11 months ago
SERBoost: Semi-supervised Boosting with Expectation Regularization
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Amir Saffari, Helmut Grabner, Horst Bischof
82
Voted
ICCS
2007
Springer
15 years 3 months ago
Automatic Memory Access Analysis with Periscope
Periscope is a distributed automatic online performance analysis system for large scale parallel systems. It consists of a set of analysis agents distributed on the parallel machin...
Michael Gerndt, Edmond Kereku
DCOSS
2010
Springer
15 years 2 months ago
A Novel Mobility Management Scheme for Target Tracking in Cluster-Based Sensor Networks
Abstract. Target tracking is a typical and important application of wireless sensor networks (WSNs). In the consideration of scalability and energy efficiency for target tracking ...
Zhibo Wang, Wei Lou, Zhi Wang, Junchao Ma, Honglon...
CIBCB
2006
IEEE
15 years 3 months ago
A Systematic Computational Approach for Transcription Factor Target Gene Prediction
— Computational prediction of transcription factor’s binding sites and regulatory target genes has great value to the biological studies of cellular process. Existing practices...
Ji He, Xinbin Dai, Xuechun Zhao
WWW
2009
ACM
15 years 10 months ago
How much can behavioral targeting help online advertising?
Behavioral Targeting (BT) is a technique used by online advertisers to increase the effectiveness of their campaigns, and is playing an increasingly important role in the online a...
Jun Yan, Ning Liu, Gang Wang, Wen Zhang, Yun Jiang...