Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Alex P. James"'
Publikováno v:
Advanced Intelligent Systems, Vol 2, Iss 8, Pp n/a-n/a (2020)
Optimization of analogue neural circuit designs is one of the most challenging, complicated, time‐consuming, and expensive tasks. Design automation of analogue neuromemristive chips is made difficult by the need to design chips at low cost, ease of
Externí odkaz:
https://doaj.org/article/3afacb019ba14678b1e5b1bd39a5a8e4
Publikováno v:
IEEE Access, Vol 6, Pp 29865-29884 (2018)
An important application in the growing field of unmanned aerial vehicles (UAVs) is in monitoring and inspection of high voltage power lines and electrical networks. The UAV-based monitoring method will save energy, simplify access to impassable or r
Externí odkaz:
https://doaj.org/article/32f7f23855ba42a8b76f71fa395b85df
Publikováno v:
IEEE Transactions on Nanotechnology. 21:271-277
Autor:
Alex P. James
Publikováno v:
Selected Topics in Intelligent Chips with Emerging Devices, Circuits and Systems ISBN: 9781003388517
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33364ef86725b6473694f52503f5d093
https://doi.org/10.1201/9781003388517-3
https://doi.org/10.1201/9781003388517-3
Publikováno v:
2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS).
Publikováno v:
2022 IEEE International Symposium on Circuits and Systems (ISCAS).
Publikováno v:
Face Recognition
Face recognition is a special topic in visual information processing that has grown to be of tremendous interest to pattern recognition researchers for the past couple of decades (Delac & Grgic, 2007; Hallinan et al., 1999; Li & Jain, 2005; Wechsler,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a13da8d778b3e500b4eefb4c9e315f4
http://www.intechopen.com/articles/show/title/pixel-level-decisions-based-robust-face-image-recognition
http://www.intechopen.com/articles/show/title/pixel-level-decisions-based-robust-face-image-recognition
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37:1143-1156
Hierarchical temporal memory (HTM) is a machine learning algorithm inspired by the information processing mechanisms of the human neocortex and consists of a spatial pooler (SP) and temporal memory (TM). In this paper, we develop circuits and systems
Publikováno v:
Analog Integrated Circuits and Signal Processing. 95:457-465
Hierarchical temporal memory (HTM) is a neuromorphic algorithm that emulates sparsity, hierarchy and modularity resembling the working principles of neocortex. Feature encoding is an important step to create sparse binary patterns. This sparsity is i
Autor:
Alex James, Alex P James
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319683843
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9094645ffb86142262a177d27de31a84
https://doi.org/10.1007/978-3-319-68385-0
https://doi.org/10.1007/978-3-319-68385-0