Image Based HTM Word Recognizer for Language processing [Article]
| dc.contributor.author | James, Alex Pappachen | |
| dc.contributor.author | Irmanova, Aidana | |
| dc.contributor.author | Krestinskaya, Olga | |
| dc.date.accessioned | 2019-09-26T06:49:32Z | |
| dc.date.available | 2019-09-26T06:49:32Z | |
| dc.date.issued | 2019-11-29 | |
| dc.description | https://ieeexplore.ieee.org/document/8552117 | en_US |
| dc.description.abstract | The hardware implementation of neuro-inspired machine learning algorithms for near sensor processing on edge devices is an open problem. In this work, we propose a solution to written word recognition problem related to sequence learning tasks with images. Applying a theoretical framework of neocortex functionality as a sequence learning algorithm on a hardware implementation of Hierarchical Temporal Memory (HTM), we test the potential use of HTM in near-sensor on-chip natural language processing for text/symbol recognition. | en_US |
| dc.identifier.citation | Irmanova, A., Krestinskaya, O., & James, A. P. (2018). Image Based HTM Word Recognizer for Language Processing. In 2018 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia). IEEE. https://doi.org/10.1109/icce-asia.2018.8552117 | en_US |
| dc.identifier.isbn | 978-1-5386-5807-9 | |
| dc.identifier.other | 10.1109/ICCE-ASIA.2018.8552117 | |
| dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/4261 | |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
| dc.subject | HTM Word Recognizer | en_US |
| dc.subject | Language Processing | en_US |
| dc.subject | Hierarchical Temporal Memory | en_US |
| dc.subject | Research Subject Categories::TECHNOLOGY | en_US |
| dc.title | Image Based HTM Word Recognizer for Language processing [Article] | en_US |
| dc.type | Article | en_US |
| workflow.import.source | science |
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