Deep-STaR: Classification of image time series based on spatio-temporal representations
Image time series (ITS) represent complex 3D (2D+ t in practice) data that are now daily
produced in various domains, from medical imaging to remote sensing. They contain rich …
produced in various domains, from medical imaging to remote sensing. They contain rich …
Urban land cover analysis from satellite image time series based on temporal stability
Satellite Image Time Series (SITS) provide valuable information for the automatic mapping
of our territories. In this article we focus on the analysis of urban land covers from SITS …
of our territories. In this article we focus on the analysis of urban land covers from SITS …
Classification of spatially enriched pixel time series with convolutional neural networks
Satellite Image Time Series (SITS), MRI sequences, and more generally image time series,
constitute 2D+ t data providing spatial and temporal information about an observed scene …
constitute 2D+ t data providing spatial and temporal information about an observed scene …
From pixels to random walk based segments for image time series deep classification
Image time series, such as Satellite Image Time Series (SITS) or MRI functional sequences
in the medical domain, carry both spatial and temporal information. In many applications …
in the medical domain, carry both spatial and temporal information. In many applications …
Test oracle automation with machine learning: A feasibility study
N Imamovic - 2018 - diva-portal.org
The train represents a complex system, where every sub-system has an important role. If a
subsystem doesn't work how it should, the correctness of whole the train can be uncertain …
subsystem doesn't work how it should, the correctness of whole the train can be uncertain …
Influence of Data Representations and Deep Architectures in Image Time Series Classification
Image time series, such as Satellite Image Time Series (SITS) or MRI functional sequences
in the medical domain, carry both spatial and temporal information. In many pattern …
in the medical domain, carry both spatial and temporal information. In many pattern …
Spatio-temporal stability analysis in satellite image times series
Abstract Satellite Image Time Series (SITS) provide valuable information for the study of the
Earth's surface. In particular, this information may improve the comprehension, the …
Earth's surface. In particular, this information may improve the comprehension, the …
[PDF][PDF] Des pixels aux segments pour la classification de séries temporelles d'images via des réseaux de neurones convolutionnels
Les séries temporelles d'images, telles que les séries temporelles d'images satellites (STIS)
ou les séquences fonctionnelles d'IRM dans le domaine médical, fournissent des …
ou les séquences fonctionnelles d'IRM dans le domaine médical, fournissent des …
Clasificación de series de tiempo empleando funciones de distribución y máquinas de vectores de soporte
C Montoya Holguin - 2017 - repositorio.utp.edu.co
Las series de tiempo son una clase importante de datos presentes en un gran número de
dominios de aplicación. Una serie de tiempo T= t1;:::; tm es una colección de observaciones …
dominios de aplicación. Una serie de tiempo T= t1;:::; tm es una colección de observaciones …