Object Recognition Using Hierarchical Temporal Memory

 

Guardado en:
Detalles Bibliográficos
Autores: Fallas Moya, Fabián, Torres Rojas, Francisco
Formato: capítulo de libro
Fecha de Publicación:2018
Descripción: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.
País:Kérwá
Institución:Universidad de Costa Rica
Repositorio:Kérwá
OAI Identifier:oai:https://www.kerwa.ucr.ac.cr:10669/74745
Acceso en línea:https://link.springer.com/chapter/10.1007%2F978-3-319-76261-6_1
https://hdl.handle.net/10669/74745
Access Level:acceso abierto
Palabra clave:Machine learning
Computer vision
hierarchical temporal memory