6533b857fe1ef96bd12b4f6c

RESEARCH PRODUCT

Anchoring symbols to conceptual spaces: the case of dynamic scenarios.

Marcello FrixioneMarcello FrixioneAntonio ChellaAntonio ChellaSalvatore GaglioSalvatore Gaglio

subject

Conceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAnchoringComputer sciencebusiness.industryGeneral MathematicsRepresentation (systemics)AnchoringComputer Science Applications1707 Computer Vision and Pattern RecognitionCognitive architectureComputer Science ApplicationsAction representationRobot visionControl and Systems EngineeringSituation calculuMathematics (all)Artificial intelligenceSituation calculusbusinessCognitive roboticsSoftware

description

In recent years, there have been several proposals for the realization of models inspired to biological solutions for pattern recognition. In this work we propose a new approach, based on a hierarchical modular structure, to realize a system capable to learn by examples and recognize objects in digital images. The adopted techniques are based on multiresolution image analysis and neural networks. Performance on two different data sets and experimental timings on a single instruction multiple data (SIMD) machine are also reported.

http://hdl.handle.net/11386/1059518