Zobrazeno 1 - 10
of 1 185
pro vyhledávání: '"Image clustering"'
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 6, Pp 1321-1329 (2024)
Cross-view image clustering (CIC) showcases immense potential in recognizing image patterns due to the power to aggregate information between views without labels. However, most CIC ignore intricate coupling relationships between category and redunda
Externí odkaz:
https://doaj.org/article/f761dad3cdba45cca10df22e6ffcdc3e
Publikováno v:
In Journal of Building Engineering 1 December 2024 98
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200387- (2024)
By cooperatively learning features and assigning clusters, deep clustering is superior to conventional clustering algorithms. Numerous deep clustering algorithms have been developed for a variety of application levels; however, the majority are still
Externí odkaz:
https://doaj.org/article/595d93787957438994da59abb3bd4045
Publikováno v:
Cognitive Robotics, Vol 4, Iss , Pp 191-203 (2024)
Visual recognition with deep learning has recently been shown to be effective in robotic vision. However, these algorithms tend to be build under fixed and structured environment, which is rarely the case in real life. When facing unknown objects, av
Externí odkaz:
https://doaj.org/article/30de12f518704b5e8becfb2a6b3b6813
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9162 (2024)
In this study, we propose a fire classification system using image clustering based on a federated learning (FL) structure. This system enables fire detection in various industries, including manufacturing. The accurate classification of fire, smoke,
Externí odkaz:
https://doaj.org/article/61f2cd1aee7846a4a38d28b4b6ab64e5
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2173-2185 (2023)
Abstract Social image data refer to the annotated image with tags in social media, in which the tags are always labeled by users. Integrating the visual and textual information of social image can obtain accurate and comprehensive feature and improve
Externí odkaz:
https://doaj.org/article/eb8f92aa899c48c79f51a39125e9af8b
Autor:
Zhang, Xuelin a, ⁎, Liu, Feng b, Cheng, Xuelian a, Yan, Siyuan a, Liao, Zhibin c, Ge, Zongyuan a
Publikováno v:
In Cognitive Robotics 2024 4:191-203
Autor:
Bhuvanya R., Kavitha M.
Publikováno v:
Cybernetics and Information Technologies, Vol 23, Iss 2, Pp 3-19 (2023)
The need for information is gradually shifting from text to images due to the technology’s growth and increase in digital images. It is quite challenging for people to find similar color images. To obtain similarity matching, the color of the image
Externí odkaz:
https://doaj.org/article/2eda55612af2446d844b6d926990c9d2
Publikováno v:
AIMS Mathematics, Vol 8, Iss 8, Pp 18314-18338 (2023)
It has been demonstrated that fuzzy systems are beneficial for classification and regression. However, they have been mainly utilized in controlled settings. An image clustering technique essential for content-based picture retrieval in big image dat
Externí odkaz:
https://doaj.org/article/17bed7aae6b9421d9b2f2a4341b56d6e
Publikováno v:
Climate Services, Vol 33, Iss , Pp 100440- (2024)
Heavy snowfall is a natural disaster that causes extensive damage in South Korea. Therefore, predicting heavy snowfall occurrence, identifying vulnerable areas, and establishing response plans to reduce risk are crucial. In this study, to project hea
Externí odkaz:
https://doaj.org/article/0efd200bcb0c47d187426d461971d110