Πλοήγηση ανά Θέμα "Training dataset"
Αποτελέσματα 1-3 από 3
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Orchard mapping with deep learning semantic segmentation
(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
(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
(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 ...