Show simple item record

dc.contributorVelasco Esteban, Luis Domingo
dc.contributorRuiz Ramírez, Marc
dc.contributor.authorPallàs Domingo, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2017-07-03T09:10:02Z
dc.date.issued2017-06
dc.identifier.urihttp://hdl.handle.net/2117/106084
dc.description.abstractIn this project, machine learning techniques based on statistical methodology will be used to implement a photograph classification system for smart cities applications.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.publisherUniversitat de Barcelona
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada
dc.subject.lcshAlgorithms
dc.subject.otherImage processing
dc.subject.otherClassification
dc.subject.otherMachine learning
dc.titleIdentifying pedestrian behaviour in smart city environments
dc.typeMaster thesis
dc.subject.lemacAlgorismes
dc.subject.amsClassificació AMS::68 Computer science::68W Algorithms
dc.identifier.slugFME-1412
dc.rights.accessRestricted access - author's decision
dc.date.lift10000-01-01
dc.date.updated2017-06-30T05:37:59Z
dc.audience.educationlevelMàster
dc.audience.mediatorUniversitat Politècnica de Catalunya. Facultat de Matemàtiques i Estadística


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder