Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Hong-bo XIE"'
Autor:
Owen Forbes, Edgar Santos-Fernandez, Paul Pao-Yen Wu, Hong-Bo Xie, Paul E Schwenn, Jim Lagopoulos, Lia Mills, Dashiell D Sacks, Daniel F Hermens, Kerrie Mengersen
Publikováno v:
PLoS ONE, Vol 18, Iss 8, p e0288000 (2023)
Various methods have been developed to combine inference across multiple sets of results for unsupervised clustering, within the ensemble clustering literature. The approach of reporting results from one 'best' model out of several candidate clusteri
Externí odkaz:
https://doaj.org/article/a41ad3e813444b5b90529a286257f2a5
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 32:391-404
Extracting low-rank and/or sparse structures using matrix factorization techniques has been extensively studied in the machine learning community. Kernelized matrix factorization (KMF) is a powerful tool to incorporate side information into the low-r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5756eb6849d5c22ef514342cae32dc6
https://doi.org/10.1109/tnnls.2020.2978761
https://doi.org/10.1109/tnnls.2020.2978761
Publikováno v:
Ying yong sheng tai xue bao = The journal of applied ecology. 32(8)
In order to clarify the eco-environmental quality and its evolution characteristics of Keluke Lake basin, we selected 15 factors of physical geography, meteorology, land use/cover and social economy using comprehensive investigation, remote sensing i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6354c3438445a3003738689948ee9558
https://pubmed.ncbi.nlm.nih.gov/34664464
https://pubmed.ncbi.nlm.nih.gov/34664464
Publikováno v:
IEEE Transactions on Nuclear Science. 66:1070-1075
The high-speed serial transceiver plays a key role in the high-speed data transmission. Because of the independent clock network in each transceiver, there exist random skews between the multiple transceivers each time the system reinitializes. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f5653df2f345d2ab2f92783e45ffea1
https://doi.org/10.1109/tns.2019.2904703
https://doi.org/10.1109/tns.2019.2904703
Autor:
Richard Yi Da Xu, Kerrie Mengersen, Sabine Van Huffel, Hong-Bo Xie, Xuhui Fan, Caoyuan Li, Scott A. Sisson
Nonnegative Matrix Factorization (NMF) is valuable in many applications of blind source separation, signal processing and machine learning. A number of algorithms that can infer nonnegative latent factors have been developed, but most of these assume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db98d619bce059605ab94ee8d068feb4
https://hdl.handle.net/10453/145415
https://hdl.handle.net/10453/145415
Publikováno v:
Modeling Decisions for Artificial Intelligence ISBN: 9783030575236
MDAI
MDAI
Nonnegative Matrix Factorization (NMF) is an important tool in machine learning for blind source separation and latent factor extraction. Most of existing NMF algorithms assume a specific noise kernel, which is insufficient to deal with complex noise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad9d8b0286e72d6f2dc81d95124ed21e
https://doi.org/10.1007/978-3-030-57524-3_11
https://doi.org/10.1007/978-3-030-57524-3_11
Publikováno v:
IEEE Transactions on Fuzzy Systems. 26:1970-1982
Fuzzy entropy (FuzzyEn), which employs the fuzzy probability to characterize the similarity between vectors, is a robust nonlinear statistic to quantify the complexity or regularity of nonlinear time series. The aim of this study is to investigate th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::509e69c82e05202fbf77263588f3f2c4
https://doi.org/10.1109/tfuzz.2017.2756829
https://doi.org/10.1109/tfuzz.2017.2756829
Publikováno v:
Measurement Science Review, Vol 17, Iss 3, Pp 117-124 (2017)
Discrete wavelet transform (WT) followed by principal component analysis (PCA) has been a powerful approach for the analysis of biomedical signals. Wavelet coefficients at various scales and channels were usually transformed into a one-dimensional ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eaaa7b0239a0f986f746efb60e920c1
https://doaj.org/article/6197c68d5b3940e3b221980a981ce396
https://doaj.org/article/6197c68d5b3940e3b221980a981ce396
Autor:
Hong-Bo Xie, Yi Ji
Publikováno v:
Transactions of the Institute of Measurement and Control. 40:2387-2395
Time-frequency representiation has been intensively employed for the analysis of biomedical signals. In order to extract discriminative information, time-frequency matrix is often transformed into a 1D vector followed by principal component analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ca35e8824e3ac444727540c4d8331ae
https://doi.org/10.1177/0142331217704035
https://doi.org/10.1177/0142331217704035
Autor:
Xiao Jiang, Zheng-Ping Li, Sheng-Kai Liao, Wen-Qi Cai, Juan Yin, Cheng-Zhi Peng, Yang Li, Hong-Bo Xie, Yu-Huai Li, Ji-Gang Ren
Publikováno v:
Optics letters. 44(21)
Polarization modulation plays a key role in polarization-encoding quantum key distribution (QKD). Here, we report a new, to the best of our knowledge, polarization modulation scheme based on an inherently stable Sagnac interferometer. The presented s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee2d35c8db2b960a7160ec54568c4c24
https://pubmed.ncbi.nlm.nih.gov/31674983
https://pubmed.ncbi.nlm.nih.gov/31674983