Todo DSpace

Listar por tema "Training dataset"

Mostrando ítems 1-3 de 3

    • Orchard mapping with deep learning semantic segmentation 

      Anagnostis A., Tagarakis A.C., Kateris D., Moysiadis V., Sørensen C.G., Pearson S., Bochtis D. (2021)
      This study aimed to propose an approach for orchard trees segmentation using aerial images based on a deep learning convolutional neural network variant, namely the U-net network. The purpose was the automated detection ...

    • Prepartitioning in MapReduce Processing of Group Nearest-Neighbor Query 

      Moutafis P., Mavrommatis G., Velentzas P. (2020)
      Given two datasets of points (called Query and Training), the Group (K) Nearest-Neighbor (GKNN) query retrieves (K) points of the Training with the smallest sum of distances to every point of the Query. This spatial query ...

    • RuleMR: Classification rule discovery with MapReduce 

      Kolias, V.; Kolias, C.; Anagnostopoulos, I.; Kayafas, E. (2014)
      The vast amounts of data generated, exchanged and consumed on a daily basis by contemporary networks and devices renders their analysis a cumbersome procedure with inherent difficulties. On the one hand, the need for ...