| Title: | Optimization of the energy consumption of a building with PV |
| Authors: | Jiřinec, Jakub Rot, David Jiřinec, Stanislav |
| Citation: | MARTÍNEK, J., LENC, L., KRÁL, P. Training Strategies for OCR Systems for Historical Documents. In: Artificial Intelligence Applications and Innovation. Cham: Springer, 2019. s. 362-373. ISBN 978-3-030-19822-0, ISSN 1868-4238. |
| Issue Date: | 2019 |
| Publisher: | Springer |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | 2-s2.0-85065915057 http://hdl.handle.net/11025/35864 |
| ISBN: | 978-3-030-19822-0 |
| Keywords in different language: | optimization;energy consuption;photovoltaic system (PV);measuring system;regulation system;programmable logic controller (PLC);heat pump |
| Abstract in different language: | This paper presents an overview of training strategies for optical character recognition of historical documents. The main issue is the lack of the annotated data and its quality. We summarize several ways of synthetic data preparation. The main goal of this paper is to show and compare possibilities how to train a convolutional recurrent neural network classifier using the synthetic data and its combination with a real annotated dataset. |
| Rights: | Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © Springer |
| Appears in Collections: | Konferenční příspěvky / Conference papers (NTIS) Konferenční příspěvky / Conference Papers (KIV) OBD |
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