Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ziqiong Liu"'
Autor:
Shan Jin, Mingjin Li, Ziqiong Liu, Ruihua Liu, Yuanchao Li, Yanyu Zhu, Yuwei Yuan, Pengchun Li, Pengming Li, Chunmei Chen, Yun Sun
Publikováno v:
Food Chemistry: X, Vol 21, Iss , Pp 101192- (2024)
This study utilized a colorimeter to determine the color values of 23 beauty tea (BT) samples, the color and the taste characteristics were also quantitatively described through ultraviolet–visible (UV–Vis) spectroscopy and taste equivalent quant
Externí odkaz:
https://doaj.org/article/4f59b0d308e64cc9aefd7ce1c4f156d4
Autor:
Jianguo Zhao, Ziqiong Liu
Background As the aging population continues to grow at an accelerating pace, it is crucial to pay attention to the impact of public medical insurance policies on the health of older adults. Therefore, based on the health status of older adults in Ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e93a2498759ff2688a11528c30eec6e3
https://doi.org/10.21203/rs.3.rs-2742251/v1
https://doi.org/10.21203/rs.3.rs-2742251/v1
Autor:
Ziqiong Liu
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d8824c3ff819cf9d5513a7282a5b767
https://doi.org/10.2139/ssrn.4276147
https://doi.org/10.2139/ssrn.4276147
Autor:
Ziqiong Liu
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a19a94eab1543409ca1073281850622
https://doi.org/10.2139/ssrn.4276142
https://doi.org/10.2139/ssrn.4276142
Publikováno v:
Neurocomputing. 173:1183-1191
This paper revisits the vector of locally aggregated descriptors (VLAD), which aggregates the residuals of local descriptors to their cluster centers. Since VLAD usually adopts a small-size codebook, the clusters are coarse and residuals not discrimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5369f875257c36e925925f345704371b
https://doi.org/10.1016/j.neucom.2015.08.076
https://doi.org/10.1016/j.neucom.2015.08.076
Publikováno v:
IEEE Transactions on Multimedia. 17:648-659
© 1999-2012 IEEE. Efficiency is of great importance for image retrieval systems. For this pragmatic issue, this paper proposes a fast image retrieval framework to speed up the online retrieval process. To this end, an impact score for local features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::873cefd7b12e4af1a5e206065174cb95
https://doi.org/10.1109/tmm.2015.2408563
https://doi.org/10.1109/tmm.2015.2408563
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 26(7)
© 2016 IEEE. Recently, feature fusion has demonstrated its effectiveness in image search. However, bad features and inappropriate parameters usually bring about false positive images, i.e., outliers, leading to inferior performance. Therefore, a maj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d938be1a26c264ce9e69b0579f6dc7b4
https://pubmed.ncbi.nlm.nih.gov/28141521
https://pubmed.ncbi.nlm.nih.gov/28141521
Publikováno v:
CVPR
© 2015 IEEE. Feature fusion has been proven effective [35, 36] in image search. Typically, it is assumed that the to-be-fused heterogeneous features work well by themselves for the query. However, in a more realistic situation, one does not know in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5e6c6f09d197c5f717b43ddd563fa48
https://hdl.handle.net/10453/118031
https://hdl.handle.net/10453/118031
Publikováno v:
ICASSP
This paper introduces an improved reranking method for the Bag-of-Words (BoW) based image search. Built on [1], a directed image graph robust to outlier distraction is proposed. In our approach, the relevance among images is encoded in the image grap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0b107e5bc72ccf7b4814a3c8dc3544b
https://doi.org/10.1109/icassp.2014.6854935
https://doi.org/10.1109/icassp.2014.6854935
Publikováno v:
CVPR
In Bag-of-Words (BoW) based image retrieval, the SIFT visual word has a low discriminative power, so false positive matches occur prevalently. Apart from the information loss during quantization, another cause is that the SIFT feature only describes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f0f5c895e7759355893005158b3aa33
https://hdl.handle.net/10453/118033
https://hdl.handle.net/10453/118033