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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0.32

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2 authors
#AuthorInstitutionsORCID
1 Maciej Wielgosz AGH University of Krakow (PL)
2 Marcin Pietroń Akademickie Centrum Komputerow… (PL)

Data: OpenAlex