Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/29237
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dc.date.accessioned2018-04-16T14:21:16Z-
dc.date.available2018-04-16T14:21:16Z-
dc.date.issued2013-07-
dc.identifier.citationAzzopardi, G. (2013). GOOSE : search on internet of connected sensors. International Workshop on Brain-Inspired Computing (2013), Cetraro, Italy.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/29237-
dc.descriptionA PowerPoint presentation delivered by the author at the International workshop on brain-inspired computing, Cetraro, Italy, 2013en_GB
dc.description.abstractTNO is a non-profit research organization founded 80 years ago. The areas of expertise within TNO include technical sciences, behavioural and societal sciences, as well as earth, environmental and life sciences with applications in seven themes: a) healthy living, b) industrial innovation, c) defence, safety and security, d) energy, e) transport and mobility, f) built environment, and g) information society. Pattern recognition and machine learning are active fields of research within TNO. One major project is called GOOSE which has the ambition to provide the capability to search semantically for any relevant information within “all” (including imaging) sensor streams, in near real time, in the entire internet of sensors. The concept is similar to the capability provided by currently available search engines which enable the retrieval of information on “all” pages on the internet.en_GB
dc.language.isoenen_GB
dc.publisherUniversity of Maltaen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectPattern recognition systemsen_GB
dc.subjectMachine learningen_GB
dc.subjectInternet searchingen_GB
dc.subjectDetectorsen_GB
dc.titleGOOSE : search on internet of connected sensorsen_GB
dc.typepresentationen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameInternational Workshop on Brain-Inspired Computing (2013)en_GB
dc.bibliographicCitation.conferenceplaceCetraro, Italy, 08-11/07/2013en_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorAzzopardi, George-
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