Time-series representation framework based on multi-instance similarity measures
Time series analysis plays an essential role in today’s society due to the ease of access to information. This analysis is present in the majority of applications that involve sensors, but in recent years thanks to technological advancement, this approach has been directed towards the treatment of c...
- Autores:
-
Caicedo Acosta, Julian Camilo
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/76883
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/76883
http://bdigital.unal.edu.co/73819/
- Palabra clave:
- Time-Series analysis
Similarity
Multiple instance learning
EEG
MRI
Satellite images
Análisis de series de tiempo
Aprendizaje de múltiples instancias
EEG, MRI, Imágenes satelita
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional