Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Distortion problem"'
Publikováno v:
IEEE Transactions on Image Processing. 31:301-313
Along with the outstanding performance of the deep neural networks (DNNs), considerable research efforts have been devoted to finding ways to understand the decision of DNNs structures. In the computer vision domain, visualizing the attribution map i
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:7688-7698
Since fish-eye cameras are popular in the intelligent transportation systems, accurate pedestrian detection in fish-eye images becomes more and more critical in low-speed scenarios. Usually, big data based training is the key for detectors to handle
Autor:
Zhuo Chen
Publikováno v:
Advances in Mathematical Physics, Vol 2021 (2021)
The signal corresponding to English speech contains a lot of redundant information and environmental interference information, which will produce a lot of distortion in the process of English speech translation signal recognition. Based on this, a la
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 39, Iss 4, Pp 824-830 (2021)
In order to solve the image blurring and distortion problem caused by underwater non-uniform and low illumination, this paper proposes an underwater image enhancement algorithm based on the Retinex theory and the Alternating Direction Method of Multi
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
In this article, the ideas of post-quantum calculus and meromorphic multivalent functions are combined and some applications of these functions are discussed. We introduce a new subclass of meromorphic multivalent functions in association with Janows
Publikováno v:
Journal of Systems Engineering and Electronics. 32:425-436
Inverse synthetic aperture radar (ISAR) imaging of near-field targets is potentially useful in some specific applications, which makes it very important to efficiently produce high-quality image of the near-field target. In this paper, the simplified
Publikováno v:
IEEE Transactions on Fuzzy Systems. 28:2480-2494
The fuzzy min–max (FMM) neural network stands as a useful model for solving pattern classification problems. FMM has many important features, such as online learning and one-pass learning. It, however, has certain limitations, especially in its lea
Publikováno v:
International Journal of Control, Automation and Systems. 18:2929-2942
Accurate three-dimensional (3D) intersegment joint angle measurement is an important biomechanical measure for a variety of applications. Although inertial and magnetic measurement units (IMMUs) are mobile alternatives to optical motion capture syste
Autor:
Dong Wan Shin, Ji Eun Choi
Publikováno v:
Statistical Papers. 62:2333-2353
We construct a new test for correlation matrix break based on the self-normalization method. The self-normalization test has practical advantage over the existing test: easy and stable implementation; not having the singularity issue and the bandwidt
Autor:
Dong Wan Shin, Ji Eun Choi
Publikováno v:
Journal of the Korean Statistical Society. 49:802-821
We consider block bootstrappings for panel mean change test of the squared CUSUM test of Horvath and Huskova (J Time Ser Anal 33:631–648, 2012): the circular block bootstrapping and stationary bootstrapping. First order asymptotic null validity of