Zobrazeno 1 - 10
of 16 000
pro vyhledávání: '"Feature Learning"'
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 792-806 (2024)
Vector maps find widespread utility across diverse domains due to their capacity to not only store but also represent discrete data boundaries such as building footprints, disaster impact analysis, digitization, urban planning, location points, trans
Externí odkaz:
https://doaj.org/article/b6b58bd3714644d9bd389917ba5c697e
Autor:
Xinjie Zhu
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 7, Pp 1463-1471 (2024)
In multimedia pattern recognition, particularly in English education, the sharing of local features between classes and their varying classification reliability are often overlooked in existing methods, which diminishes feature discrimination and co
Externí odkaz:
https://doaj.org/article/fdd7a9e4486744cfbf5a7956c678569f
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-17 (2024)
Abstract As image–text matching (a critical task in the field of computer vision) links cross-modal data, it has captured extensive attention. Most of the existing methods intended for matching images and texts explore the local similarity levels b
Externí odkaz:
https://doaj.org/article/4f0f584438e34f98a7c74827eeb1443c
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 7, Pp 1852-1864 (2024)
High-quality feature representation is the key to achieve accurate data mining. A deep unsupervised fusion feature learning model for mixed-attribute data (DUFERM) is proposed to address the problem that existing feature learning methods are difficu
Externí odkaz:
https://doaj.org/article/f89b04bba386444c93f908227201df35
Autor:
Xiaolong CHEN, Xiaoyang HE, Zhenhua DENG, Jian GUAN, Xiaolin DU, Wei XUE, Ningyuan SU, Jinhao WANG
Publikováno v:
Leida xuebao, Vol 13, Iss 3, Pp 501-524 (2024)
Weak target signal processing is the cornerstone and prerequisite for radar to achieve excellent detection performance. In complex practical applications, due to strong clutter interference, weak target signals, unclear image features, and difficult
Externí odkaz:
https://doaj.org/article/77292bb9860749e282b27ae14596ef17
Autor:
Taparia, Aditya a, Bashir, Ali Kashif b, g, h, Zhu, Yaodong c, ⁎, Gdekallu, Thippa Reddy d, e, g, Nath, Keshab f
Publikováno v:
In Alexandria Engineering Journal December 2024 109:792-806
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19530-19547 (2024)
Ship detection achieves great significance in remote sensing of synthetic aperture radar (SAR) and many efforts have been done in recent years. However, distinguishing ship targets precisely from the interference of multiplicative non-Gaussian cohere
Externí odkaz:
https://doaj.org/article/4ea564427f4c453ca545e26e9cdd596d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17710-17724 (2024)
Self-supervised contrastive learning can help alleviating the meet of large numbers of annotated samples and learning high-level representations from unlabeled data. However, the high diversities in ground objects make it difficult to learn the featu
Externí odkaz:
https://doaj.org/article/875f43783c1049fa9564550234a12d35
Autor:
Maryam Assafo, Peter Langendoerfer
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 5, Pp 993-1010 (2024)
Tool condition monitoring (TCM) is crucial to ensure good quality products and avoid downtime. Machine learning has proven to be vital for TCM. However, existing works are predominately based on supervised learning, which hinders their applicability
Externí odkaz:
https://doaj.org/article/bb42d5512dc647df93e183ee78509082
Publikováno v:
IEEE Access, Vol 12, Pp 107944-107958 (2024)
Machine fault diagnosis for expensive high-capacity machines may be challenging as it is infeasible to induce faults and collect data. In this work, we propose a scalable fault modeling approach to address this challenge. The proposed method utilizes
Externí odkaz:
https://doaj.org/article/200d7156df6e457b8f19f7793f815a3f