Search results for " Parallel processing"

showing 3 items of 3 documents

M-VIF: A machine-vision based on information fusion

2002

The authors describe a new architecture for machine vision, which is based on information fusion approach. Its general design has been developed by using a formal computation model that integrates three main ingredients of the visual computation: the data, the models, and the algorithms. The hardware design and the software environment of M-VIF are also given. The simulation of M-VIF is under development on the HERMIA-machine.

Settore INF/01 - InformaticaMachine visionComputer sciencebusiness.industryComputationMachine learningcomputer.software_genreAbstract machineInformation fusionSoftwareComputer architectureactive vision machine vision image analysis parallel processing.Artificial intelligenceArchitecturebusinesscomputer
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Dynamic interface for machine vision systems

2002

Iconic programming intends to provide expressive tools to implement, to debug, and to execute programs. For this purpose, visual languages need pictorial constructs and metaphors to guide the design of algorithms in interactive fashion. In the paper a new class of dynamic visual interfaces, named DIVA (Dynamic Interface for Visual Applications), is introduced, its properties are described, and an application to visual compilers in a multi-processors system dedicated to image analysis is given. Moreover, a formal definition of dynamic icon (DI) is also given.

Parallel processing (psychology)Settore INF/01 - Informaticabusiness.industryMachine visionComputer scienceProgramming languagemedia_common.quotation_subjectMachine vision Humans Computer interfaces Time varying systems Computer science Algorithm design and analysis Image analysis Parallel processing Virtual reality Multimedia systemsVirtual realitycomputer.software_genreDebuggingComputer graphics (images)Algorithm designCompilerArtificial intelligenceIconbusinesscomputerGraphical user interfacecomputer.programming_languagemedia_commonProceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5)
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PGAC: A Parallel Genetic Algorithm for Data Clustering

2005

Cluster analysis is a valuable tool for exploratory pattern analysis, especially when very little a priori knowledge about the data is available. Distributed systems, based on high speed intranet connections, provide new tools in order to design new and faster clustering algorithms. Here, a parallel genetic algorithm for clustering called PGAC is described. The used strategy of parallelization is the island model paradigm where different populations of chromosomes (called demes) evolve locally to each processor and from time to time some individuals are moved from one deme to another. Experiments have been performed for testing the benefits of the parallelisation paradigm in terms of comput…

IntranetCorrectnessTheoretical computer scienceParallel processing (DSP implementation)Artificial neural networkData Clustering Evolutionary Aglorithms Parallel processingSettore INF/01 - InformaticaComputer scienceParallel algorithmA priori and a posterioriAlgorithm designParallel computingCluster analysis
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