Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Naveen Kumar, H. N."'
Publikováno v:
IET Image Processing, Vol 18, Iss 9, Pp 2449-2460 (2024)
Abstract In automatic facial expression recognition (AFER) systems, modelling the spatio‐temporal feature information in a specific manner, coalescing, and its effective utilization is challenging. The state‐of‐the‐art studies have examined i
Externí odkaz:
https://doaj.org/article/d73b44dc45a34806946616cc0c38025e
Publikováno v:
IET Image Processing, Vol 17, Iss 4, Pp 1111-1125 (2023)
Abstract Facial expression is one form of communication which being non‐verbal in nature precedes verbal communication in both origin and conception. Most of the existing methods for Automatic Facial Expression Recognition (AFER) are mainly focused
Externí odkaz:
https://doaj.org/article/8243da17466a47638558ee52232e48aa
Autor:
Naveen Kumar, H. N., Patil, Chandrashekar M., Nagaraja, B. G., Jain, Amith K., Sudheesh, K. V., Mahadevaswamy, S
Publikováno v:
Wireless Personal Communications; Oct2024, Vol. 138 Issue 4, p2183-2205, 23p
Publikováno v:
Journal of Reliable Intelligent Environments; December 2024, Vol. 10 Issue: 4 p449-461, 13p
Autor:
Chandrappa, S., Guru Prasad, M. S., Naveen Kumar, H. N., Pachnanda, Shubham, Sharath, K. R., Yeole, Ashwini Niteen
Publikováno v:
Journal of Nano- & Electronic Physics; 2024, Vol. 16 Issue 4, p1-5, 5p
Publikováno v:
IET Image Processing. 17:1111-1125
Publikováno v:
2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP).
Frequent item mining is a process wherein we extract or mine frequent itemsets from a given input dataset. Apriori algorithms and FP-growth algorithms are two types of common pattern mining algorithms. Traditional implementations of such frequent ite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb4b57660facca6811837f57ecb5125f
https://doi.org/10.21203/rs.3.rs-2314436/v1
https://doi.org/10.21203/rs.3.rs-2314436/v1
Publikováno v:
2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT).
Automatic recognition and interpretation of human emotions are becoming an integral part of intelligent products and services, which can lead to a breakthrough in domains such as healthcare, marketing, security, education and environment. This leads
Publikováno v:
SN Computer Science; March 2023, Vol. 4 Issue: 2