OpenCL-Accelerated Object Classification in Video Streams us…
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- DOI 10.14569/ijacsa.2017.080245
- OpenAlex ID W2478288626
- Type Article
- Language EN
- Published 01 Jan 2017
- Volume 8 (2)
- Source International Journal of Advanced Comput…
- Publisher Science and Information Organizatio…
- FWCI 0.32
- Countries 1
- Institutions 2
- Added 23 Aug 2016
- Updated 16 Oct 2026
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OpenCL-Accelerated Object Classification in Video Streams using Spatial Pooler of Hierarchical Temporal Memory
Article 2017 EN Hybrid
The paper presents a method to classify objects in video streams using a brain-inspired Hierarchical Temporal Memory (HTM) algorithm. Object classification is a challeng-ing task where humans still significantly outperform machine learning algorithms due to their unique capabilities. A system which achieves very promising performance in terms of recogni-tion accuracy have been implemented. Unfortu…
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2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Maciej Wielgosz | AGH University of Krakow (PL) | |
| 2 | Marcin Pietroń | Akademickie Centrum Komputerow… (PL) |
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