Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mengjun Ye"'
Autor:
Meng Hou, Mengjun Ye, Xuelian Ma, Yawei Sun, Gang Yao, Liya Liu, Xin Li, Yan Hu, Jinquan Wang
Publikováno v:
Microbiology Spectrum, Vol 12, Iss 6 (2024)
ABSTRACT Tail fat deposition of Altay sheep not only increased the cost of feeding but also reduced the economic value of meat. Currently, because artificial tail removal and gene modification methods cannot solve this problem, it is maybe to conside
Externí odkaz:
https://doaj.org/article/42e665e1a140409fa540836adede8afa
Autor:
Xuelian Ma, Weiwei Xiang, Yabin Lu, Zhanhai Mai, Qi Wang, Gang Yao, Ling Kuang, Hongqiong Zhao, Mengjun Ye, Meng Hou, Luo Liu, Anqi Tang, Shaohua Zhai, Jinquan Wang
Publikováno v:
Revista Brasileira de Zootecnia, Vol 52 (2023)
ABSTRACT The objective of this study was to assess the effect of Suanzaoren decoction on stress response of horses in transportation. A total of six male Ili horses were equally divided into Suanzaoren decoction treatment group (n = 3; basal diet sup
Externí odkaz:
https://doaj.org/article/41090852bc2d4e85b6a35d90c752e685
Publikováno v:
Animals, Vol 12, Iss 12, p 1564 (2022)
Both the jejunum and colon release cytokines that interact with intestinal microbiota. However, it is largely unclear which cytokines and microbial populations are involved in the homeostasis of the intestinal ecosystem for sheep health. To address t
Externí odkaz:
https://doaj.org/article/2a3d39d92381428fa3102bef743c020a
Publikováno v:
International Journal of Systems Science. 50:2063-2076
This paper formulates the multiple asymptotical stability for a general class of fractional-order neural networks with time delays. By exploiting the properties of upper bounded and lower bounded f...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::775eba32cf9f71214d4e22b2e5d73c85
https://doi.org/10.1080/00207721.2019.1646836
https://doi.org/10.1080/00207721.2019.1646836
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783030606381
PRCV (2)
PRCV (2)
This paper proposes a diagonal symmetric pattern (DSP) to develop the illumination invariant measure for severe illumination variations. Firstly, the subtraction of two diagonal symmetric pixels is defined as the DSP unit in the face local region, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13551fb0da8384b3a0c976190715bad5
https://doi.org/10.1007/978-3-030-60639-8_3
https://doi.org/10.1007/978-3-030-60639-8_3
Publikováno v:
Pattern Recognition. 64:60-83
Illumination processing is a challenging task in face recognition. Although numerous techniques have been proposed to tackle this problem, none of them can achieve high performance under different illumination variations. In this paper, we propose th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57570a20c2539774fef2b3090af5c703
https://doi.org/10.1016/j.patcog.2016.10.029
https://doi.org/10.1016/j.patcog.2016.10.029
Publikováno v:
Multimedia Tools and Applications. 76:26523-26550
The extended sparse representation classifier (ESRC) is one of the state-of-the-art solutions for single sample face recognition, but it performs unsatisfactorily under varying illumination. There are two main reasons: one is that the mutual influenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2d8f7c2c3ae1096078a366a0a693d35
https://doi.org/10.1007/s11042-016-4180-x
https://doi.org/10.1007/s11042-016-4180-x
Publikováno v:
Neurocomputing. 160:287-299
The image decomposition based method is one of the efficient and important face recognition solutions for the single sample per person problem. The low image decomposition performance and the unconvincing reconstruction of the approximation image are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04ec43410563a94dcc27ccfd107f0ef2
https://doi.org/10.1016/j.neucom.2015.02.032
https://doi.org/10.1016/j.neucom.2015.02.032
Publikováno v:
Computers & Electrical Engineering. 40:51-65
The vector projection length can measure the similarity of two face image vectors.Two projection lengths are combined to make the final classification for face recognition.The projection length between a test image and a training image is the main si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba84e0c9b751a797f4bdc306b46c6092
https://doi.org/10.1016/j.compeleceng.2014.08.010
https://doi.org/10.1016/j.compeleceng.2014.08.010
Publikováno v:
Multimedia Tools and Applications. 74:10313-10334
Fisher linear discriminant analysis (FLDA) algorithm is a popular subspace method for face recognition, which requires that the number of training samples for each object is not less than two. In this paper, an adaptive approximation image reconstruc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28e3deff05170563067afd73604cff68
https://doi.org/10.1007/s11042-014-2168-y
https://doi.org/10.1007/s11042-014-2168-y