Mostrar el registro sencillo del ítem
Object Recognition Using Hierarchical Temporal Memory
dc.creator | Fallas Moya, Fabián | |
dc.creator | Torres Rojas, Francisco | |
dc.date.accessioned | 2018-05-21T21:18:23Z | |
dc.date.available | 2018-05-21T21:18:23Z | |
dc.date.issued | 2018-02-17 | |
dc.identifier.citation | https://link.springer.com/chapter/10.1007%2F978-3-319-76261-6_1 | |
dc.identifier.isbn | 978-3-319-76260-9 | |
dc.identifier.isbn | 978-3-319-76261-6 | |
dc.identifier.uri | https://hdl.handle.net/10669/74745 | |
dc.description.abstract | At this time, great effort is being directed toward developing problem-solving technology that mimics human cognitive processes. Research has been done to develop object recognition using Computer Vision for daily tasks such as secure access, traffic management, and robotic behavior. For this research, four different machine learning algorithms have been developed to overcome the computer vision problem of object recognition. Hierarchical temporal memory (HTM) is an emerging technology based on biological methods of the human cortex to learn patterns. This research applied an HTM algorithm to images (video sequences) in order to compare this technique against two others: support vector machines (SVM) and artificial neural networks (ANN). It was concluded that HTM was the most effective. | es_ES |
dc.description.sponsorship | Universidad de Costa Rica//UCR/Costa Rica | es_ES |
dc.language.iso | en_US | es_ES |
dc.source | Object Recognition Using Hierarchical Temporal Memory. In: Brito-Loeza C., Espinosa-Romero A. (eds) Intelligent Computing Systems. ISICS 2018. Communications in Computer and Information Science, vol 820. Springer, Cham | es_ES |
dc.subject | Machine learning | es_ES |
dc.subject | Computer vision | es_ES |
dc.subject | hierarchical temporal memory | es_ES |
dc.title | Object Recognition Using Hierarchical Temporal Memory | es_ES |
dc.type | capítulo de libro | |
dc.identifier.doi | 10.1007/978-3-319-76261-6_1 | |
dc.description.procedence | UCR::Sedes Regionales::Sede del Caribe | es_ES |
dc.description.procedence | UCR::Vicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ciencias de la Computación e Informática | es_ES |
Ficheros en el ítem
Ficheros | Tamaño | Formato | Ver |
---|---|---|---|
No hay ficheros asociados a este ítem. |