Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/10646| Title: | Amphora Detection Based on a Gradient Weighted Error in a Convolution Neuronal Network | Authors: | Pasquet, Jérôme Demesticha, Stella Skarlatos, Dimitrios Merad, Djamal Drap, Pierre |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | Convolution neuronal network;Gradient weighted error;Amphora | Issue Date: | 2017 | Source: | IMEKO International Conference on Metrology for Archaeology and Cultural Heritage, 2017, Lecce, Italy, 23-25 October | Project: | Advanced VR, iMmersive serious games and Augmented REality as tools to raise awareness and access to European underwater CULTURal heritage | Conference: | International Conference on Metrology for Archaeology and Cultural Heritage | URI: | https://hdl.handle.net/20.500.14279/10646 | Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International | Type: | Conference Papers | Affiliation : | Université De Toulon University of Cyprus Cyprus University of Technology |
| Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Amphora Detection.pdf | 3.27 MB | Adobe PDF | View/Open |
CORE Recommender
Page view(s)
518
Last Week
5
5
Last month
24
24
checked on Apr 28, 2024
Download(s)
107
checked on Apr 28, 2024
Google ScholarTM
Check
This item is licensed under a Creative Commons License
