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AIPS
2008
13 years 11 months ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan
SPAA
2009
ACM
14 years 5 months ago
At-most-once semantics in asynchronous shared memory
Abstract. At-most-once semantics is one of the standard models for object access in decentralized systems. Accessing an object, such as altering the state of the object by means of...
Sotiris Kentros, Aggelos Kiayias, Nicolas C. Nicol...
BMCBI
2006
146views more  BMCBI 2006»
13 years 8 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
IPPS
2006
IEEE
14 years 2 months ago
FPGA implementation of a license plate recognition SoC using automatically generated streaming accelerators
Modern FPGA platforms provide the hardware and software infrastructure for building a bus-based System on Chip (SoC) that meet the applications requirements. The designer can cust...
Nikolaos Bellas, Sek M. Chai, Malcolm Dwyer, Dan L...
ICRA
2005
IEEE
137views Robotics» more  ICRA 2005»
14 years 2 months ago
Multi-aided Inertial Navigation for Ground Vehicles in Outdoor Uneven Environments
— A good localization ability is essential for an autonomous vehicle to perform any functions. For ground vehicles operating in outdoor, uneven and unstructured environments, the...
Bingbing Liu, Martin David Adams, Javier Ibanez Gu...