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127
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CVPR
2011
IEEE
14 years 10 months ago
Distributed Computer Vision Algorithms Through Distributed Averaging
Traditional computer vision and machine learning algorithms have been largely studied in a centralized setting, where all the processing is performed at a single central location....
Roberto Tron, René, Vidal
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
15 years 11 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
CCGRID
2003
IEEE
15 years 7 months ago
Multi-class Applications for Parallel Usage of a Guaranteed Rate and a Scavenger Service
— Grid computing requires network services beyond what is currently provided by the Best-Effort Internet. Among the different approaches towards network Quality of Service, aggre...
Markus Fidler, Volker Sander
133
Voted
TC
2008
15 years 2 months ago
On the Computational Security of a Distributed Key Distribution Scheme
In a distributed key distribution scheme, a set of servers help a set of users in a group to securely obtain a common key. Security means that an adversary who corrupts some server...
Vanesa Daza, Javier Herranz, Germán S&aacut...
IPPS
2007
IEEE
15 years 8 months ago
A Semi-Distributed Axiomatic Game Theoretical Mechanism for Replicating Data Objects in Large Distributed Computing Systems
Replicating data objects onto servers across a system can alleviate access delays. The selection of data objects and servers requires solving a constraint optimization problem, wh...
Samee Ullah Khan, Ishfaq Ahmad