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pro vyhledávání: '"information divergence"'
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Publikováno v:
Modelling, Vol 2, Iss 4, Pp 555-566 (2021)
In this paper, different optimization techniques such as multi-objective optimization based on ratio analysis, the -nD angle, information divergence and multi-angle optimization methods were considered for comparative study in order to check their va
Externí odkaz:
https://doaj.org/article/892e791d8963437db9338f8565fb8c3d
Publikováno v:
Tongxin xuebao, Vol 42, Pp 231-237 (2021)
To solve the problem that the nonlinear relationship between speaker representations cannot be accurately captured in speaker verification, an objective function based on depth information divergence maximization was proposed.It could implicitly repr
Externí odkaz:
https://doaj.org/article/641c975794754ee5abd0fe718388fbe0
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2020, Iss 1, Pp 1-15 (2020)
Abstract The paper presents a model set adaptive filtering algorithm based on variational Bayesian approximation (MSA-VB) for the target tracking system with the model and noise uncertainties. The Rényi information divergence, as a criterion, is to
Externí odkaz:
https://doaj.org/article/fb739d3a8f924c5bbad8f69abaab1308
Publikováno v:
Ecological Indicators, Vol 130, Iss , Pp 108148- (2021)
In this study, we used the spectral information divergence (SID) and spectral angle mapper (SAM) algorithm classification to identify ~ 40,000 individual trees from 19 mangrove species; these data were collected from 7 sampling points spread across 4
Externí odkaz:
https://doaj.org/article/498e0f2615c24d7f83be9a6798f5b40c
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 612 (2023)
Hyperspectral image (HSI) anomaly detection (HSI-AD) has become a hot issue in hyperspectral information processing as a method for detecting undesired targets without a priori information against unknown background and target information, which can
Externí odkaz:
https://doaj.org/article/d6d848be7ab744bfa7ce2b84a9efac6d
Publikováno v:
IEEE Access, Vol 8, Pp 122026-122035 (2020)
In recent years, extreme learning machine (ELM) and its improved algorithms have been successfully applied to various classification and regression tasks. In these algorithms, MSE criterion is commonly used to control training error. However, MSE cri
Externí odkaz:
https://doaj.org/article/437e68d9c4a144d5b9f10775efb68c3f
Autor:
Csiszár, Imre, Matúš, František
Publikováno v:
The Annals of Probability, 2005 Mar 01. 33(2), 582-600.
Externí odkaz:
https://www.jstor.org/stable/3481748
Autor:
Lacker Daniel
Publikováno v:
Dependence Modeling, Vol 6, Iss 1, Pp 228-258 (2018)
Aone-to-one correspondence is drawnbetween lawinvariant risk measures and divergences,which we define as functionals of pairs of probability measures on arbitrary standard Borel spaces satisfying a few natural properties. Divergences include many cla
Externí odkaz:
https://doaj.org/article/2df54d926d0047eab123efafcf9f8507