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» Challenges in Evaluating Distributed Algorithms
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JSSPP
2009
Springer
16 years 1 months ago
Limits of Work-Stealing Scheduling
The number of applications with many parallel cooperating processes is steadily increasing, and developing efficient runtimes for their execution is an important task. Several fram...
Zeljko Vrba, Håvard Espeland, Pål Halv...
PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
16 years 1 months ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey
IPPS
2008
IEEE
16 years 29 days ago
A simple power-aware scheduling for multicore systems when running real-time applications
High-performance microprocessors, e.g., multithreaded and multicore processors, are being implemented in embedded real-time systems because of the increasing computational require...
Diana Bautista, Julio Sahuquillo, Houcine Hassan, ...
CVPR
2007
IEEE
16 years 27 days ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen
ICDCS
2007
IEEE
16 years 27 days ago
Temporal Privacy in Wireless Sensor Networks
Although the content of sensor messages describing “events of interest” may be encrypted to provide confidentiality, the context surrounding these events may also be sensitiv...
Pandurang Kamat, Wenyuan Xu, Wade Trappe, Yanyong ...