Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Caoyuan Li"'
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:
Mathematical Problems in Engineering, Vol 2018 (2018)
Color image segmentation is fundamental in image processing and computer vision. A novel approach, GDF-Ncut, is proposed to segment color images by integrating generalized data field (GDF) and improved normalized cuts (Ncut). To start with, the hiera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3b796eac90bfb1e60f1c16b29c50dc5
https://doi.org/10.1155/2018/8508294
https://doi.org/10.1155/2018/8508294
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
Autor:
Caoyuan Li, Sabine Van Huffel, Scott A. Sisson, Kerrie Mengersen, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu
© 1992-2012 IEEE. Singular value thresholding (SVT)- or nuclear norm minimization (NNM)-based nonlocal image denoising methods often rely on the precise estimation of the noise variance. However, most existing methods either assume that the noise va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fa5cda6a62ace5196f02270d0fcf158
https://hdl.handle.net/10453/135963
https://hdl.handle.net/10453/135963
Publikováno v:
Chinese Journal of Electronics. 25:397-402
A clustering algorithm named “Clustering by fast search and find of density peaks” is for finding the centers of clusters quickly. Its accuracy excessively depended on the threshold, and no efficient way was given to select its suitable value, i.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::480fefb206adfa2f30e2d67df75aab29
https://doi.org/10.1049/cje.2016.05.001
https://doi.org/10.1049/cje.2016.05.001
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030375980
LOD
LOD
Development of effective and efficient techniques for video analysis is an important research area in machine learning and computer vision. Matrix factorization (MF) is a powerful tool to perform such tasks. In this contribution, we present a hierarc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::808716d80a6e33ce2f092825b1b9610a
https://doi.org/10.1007/978-3-030-37599-7_40
https://doi.org/10.1007/978-3-030-37599-7_40
Copyright © 2018 Tech Science Press The explosive growth of mobile data demand is becoming an increasing burden on current cellular network. To address this issue, we propose a solution of opportunistic data offloading for alleviating overloaded cel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6bde4fed71515abd5535e97827028f8
https://hdl.handle.net/10453/134393
https://hdl.handle.net/10453/134393
Publikováno v:
FSKD
Negative sequential patterns refer to sequences with non-occurring and occurring items, contrast to positive sequential patterns, its search space becomes very large. The number of these two kinds frequent sequence is also quite generous. However, no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1897e450d9f8ed9260a53a6cfb551a6a
https://doi.org/10.1109/fskd.2015.7382047
https://doi.org/10.1109/fskd.2015.7382047
Publikováno v:
Computers, Materials & Continua; 2018, Vol. 57 Issue 3, p571-587, 17p