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» Scheduling in Multiprocessor System Using Genetic Algorithms
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WCNC
2008
IEEE
14 years 3 months ago
An Opportunistic Scheduling Scheme with Minimum Data-Rate Guarantees for OFDMA
Abstract—We tackle the problem of providing minimum datarate guarantees for different classes-of-service in an OFDMAbased network, while obtaining a high system throughput. Our a...
Razvan Pitic, Antonio Capone
MVA
2002
195views Computer Vision» more  MVA 2002»
13 years 8 months ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee
COORDINATION
2009
Springer
14 years 9 months ago
Multicore Scheduling for Lightweight Communicating Processes
Process-oriented programming is a design methodology in which software applications are constructed from communicating concurrent processes. A process-oriented design is typically ...
Carl G. Ritson, Adam T. Sampson, Fred R. M. Barnes
SRDS
2010
IEEE
13 years 7 months ago
Crash-Tolerant Collision-Free Data Aggregation Scheduling for Wireless Sensor Networks
Data aggregation scheduling, or convergecast, is a fundamental pattern of communication in wireless sensor networks (WSNs), where sensor nodes aggregate and relay data to a sink no...
Arshad Jhumka
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 1 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague