Zobrazeno 1 - 10
of 365
pro vyhledávání: '"long tailed distribution"'
Publikováno v:
Statistical Theory and Related Fields, Pp 1-9 (2024)
The Waring distribution is an important two-parameter discrete distribution, commonly used in fields such as ecology, linguistics, and information science, where heavy tails are often observed. In this paper, we propose a new goodness-of-fit test for
Externí odkaz:
https://doaj.org/article/5bfd33f9a059489c845e3e7c369cdcf5
Publikováno v:
In Measurement January 2025 242 Part D
Autor:
Kazuya Hayata
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
An attempt is made to settle the controversy on a theory of the concentric distribution of dialectal variants for snails. This theory was presented in 1927 by Kunio Yanagita (1875–1962), outstanding Japanese folklorist. Over more than 95 years, how
Externí odkaz:
https://doaj.org/article/d5c775eae5a5491fbf9c13b4b7c1c5fa
Publikováno v:
IEEE Access, Vol 12, Pp 112074-112084 (2024)
To address the issue of model performance degradation in combat intention recognition caused by the long-tailed distribution of battlefield data and the neglect of the spatial dimension information of multivariate time series data, this paper propose
Externí odkaz:
https://doaj.org/article/65fe79be8c60489cb9bd778c76aaf379
Autor:
Yusuke Matsui, Misaki Ohashi
Publikováno v:
IEEE Access, Vol 12, Pp 95507-95516 (2024)
Scene Graphs are widely applied in computer vision as a graphical representation of relationships between objects shown in images. However, these applications have not yet reached a practical stage of development owing to biased training caused by lo
Externí odkaz:
https://doaj.org/article/58299a62388447a59e236d48ed4868fc
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6933-6944 (2024)
The emergence of semisupervised object detection (SSOD) techniques has greatly enhanced object detection performance. SSOD leverages a limited amount of labeled data along with a large quantity of unlabeled data. However, there exists a problem of sa
Externí odkaz:
https://doaj.org/article/75e6c9cc125d440399deb7133047ba53
Autor:
LI Yang, HAN Ping
Publikováno v:
Jisuanji kexue, Vol 50, Iss 4, Pp 103-109 (2023)
Human parsing is a fine-grained level semantic segmentation task.The refinement of annotated categories in the human parsing dataset makes the dataset follow a long-tailed distribution and improves the difficulty of identifying similar categories.Bal
Externí odkaz:
https://doaj.org/article/38ca7f50496c4fd1bbad04eb187b88a9
Publikováno v:
AIMS Mathematics, Vol 8, Iss 6, Pp 13066-13072 (2023)
By constructing an appropriate example, we show that the class of heavy-tailed distributions is not closed under minimum. We provide two independent heavy-tailed random variables, such that their minimum is not heavy tailed. In addition, we establish
Externí odkaz:
https://doaj.org/article/9d9b8511698147229bc24c683b583784
Publikováno v:
IEEE Access, Vol 11, Pp 54839-54848 (2023)
Image classification techniques have succeeded greatly on various large-scale visual datasets using deep convolution neural networks. However, previous deep models usually suffer severe performance degradation in highly skewed datasets, which restric
Externí odkaz:
https://doaj.org/article/672e9c84af2d47cb89b6d216485fbf14
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1398 (2024)
The performance of semantic segmentation in remote sensing, based on deep learning models, depends on the training data. A commonly encountered issue is the imbalanced long-tailed distribution of data, where the head classes contain the majority of s
Externí odkaz:
https://doaj.org/article/40a58cee304c48c3b166bf0b794f5161