Zobrazeno 1 - 10
of 1 863
pro vyhledávání: '"distance metric"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 4, Pp 481-491 (2024)
In order to solve the problem that the signal recognition technology based on deep learning network cannot currently realize the incremental recognition of unknown signals, a method for incremental recognition of such unknown signals, based on the co
Externí odkaz:
https://doaj.org/article/e108d38acb7c4218acfebc4ccd2f6043
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 1765-1790 (2024)
Detecting abnormal surface features is an important method for identifying abnormal fish. However, existing methods face challenges in excessive subjectivity, limited accuracy, and poor real-time performance. To solve these challenges, a real-time an
Externí odkaz:
https://doaj.org/article/48c202bcddb04e7eb2eb364ae7e69256
Autor:
Paul Augustine Ejegwa, Manasseh Terna Anum, Nasreen Kausar, Chukwudi Obinna Nwokoro, Nezir Aydin, Hao Yu
Publikováno v:
Mathematics, Vol 12, Iss 20, p 3214 (2024)
The problem of insecurity is a global phenomenon that has several forms like terrorism, banditry, kidnappings, etc. Insecurity has taken hold in the Sub-Saharan Region of West Africa, especially in Nigeria, for over two decades. Nigeria’s security
Externí odkaz:
https://doaj.org/article/fed60e97e37d4f8d9c90f876c7233501
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 9, p 109 (2024)
Learning distance metrics and distinguishing between samples from different classes are among the most important topics in machine learning. This article proposes a new distance metric learning approach tailored for highly imbalanced datasets. Imbala
Externí odkaz:
https://doaj.org/article/c401ed5ee8b1478c9a76eaa5c6170d74
Publikováno v:
IEEE Access, Vol 11, Pp 121603-121616 (2023)
In recent years, deep learning has attracted considerable attention owing to its ability to address complex problems in various fields. One notable problem is metric space learning, which is aimed at learning feature embeddings through the calculatio
Externí odkaz:
https://doaj.org/article/1f2e595dae464ca2857690790701af5b
Publikováno v:
IEEE Access, Vol 11, Pp 50165-50179 (2023)
Content-based medical image retrieval is an important diagnostic tool that improves the explainability of computer-aided diagnosis systems and provides decision-making support to healthcare professionals. A common approach to content-based image retr
Externí odkaz:
https://doaj.org/article/f4e39545615445459d15d3927c0dbc78
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 6365-6376 (2022)
K-means is one of ten popular clustering algorithms. However, k-means performs poorly due to the presence of outliers in real datasets. Besides, a different distance metric makes a variation in data clustering accuracy. Improve the clustering accurac
Externí odkaz:
https://doaj.org/article/72765762cf054ea89d714f2c7ac5ef5c
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