Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Haibin Liao"'
Publikováno v:
Ultrasonics Sonochemistry, Vol 101, Iss , Pp 106704- (2023)
An aqueous enzymatic–ultrasound cavitation extraction (AEUCE) method was developed to separate Sapium sebiferum seed kernel oil. In this process, neutral proteinase was screened as the propriate enzyme. The Plackett–Burman and Box–Behnken desig
Externí odkaz:
https://doaj.org/article/6dd9a2f67ffc4e248592f4186b3182a9
Publikováno v:
IEEE Access, Vol 11, Pp 76913-76925 (2023)
Distributed optimization is a powerful paradigm to solve various problems in machine learning over networked systems. Existing first-order optimization methods perform cheap gradient descent by exchanging information per iteration only with single-ho
Externí odkaz:
https://doaj.org/article/a37d77734be848a2b13c9d7755b933bc
Publikováno v:
Arabian Journal of Chemistry, Vol 16, Iss 8, Pp 104996- (2023)
Cinnamomum camphora chvar. Borneol is an important commercial tree species in China as its essential oil contains abundant endo-borneol. Hydrodistillation (HD) is a mainstream technique for the separation of C. camphora chvar. Borneol essential oil.
Externí odkaz:
https://doaj.org/article/c53950327cf5470287f0371d52a728a1
Publikováno v:
Molecules, Vol 29, Iss 4, p 796 (2024)
The ultrasonic-assisted extraction (UAE) method was employed to separate Cinnamomum camphora proanthocyanidin-rich extracts (PCEs). This extraction process was optimized by the Box–Behnken design, and the optimal conditions, on a laboratory scale,
Externí odkaz:
https://doaj.org/article/54d6182c9f35497d984390ef4aa4c055
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12432 (2022)
Automated facial gender and age classification has remained a challenge because of the high inter-subject and intra-subject variations. We addressed this challenging problem by studying multi-instance- and multi-scale-enhanced multi-task random fores
Externí odkaz:
https://doaj.org/article/2b6d331b4c1b4774891995574a53ff83
Deep learning enhanced attributes conditional random forest for robust facial expression recognition
Publikováno v:
Multimedia Tools and Applications. 80:28627-28645
Automated Facial Expression Recognition (FER) has remained challenging because of the high inter-subject (e.g. the variations of age, gender and ethnic backgrounds) and intra-subject variations (e.g. the variations of low image resolution, occlusion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65d6f7f299a5e04edf4139aa3f8dba66
https://doi.org/10.1007/s11042-021-10951-8
https://doi.org/10.1007/s11042-021-10951-8
Autor:
Haibin Liao
Publikováno v:
Multimedia Tools and Applications. 78:2181-2197
In recent years, the research on facial age estimation has attracted more and more interests from the scholars and researchers in the field of psychological, aesthetic, forensic science and computer vision. However, facial age estimation is a challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9da8792049b3ff0d417380b677ded8e5
https://doi.org/10.1007/s11042-018-6342-5
https://doi.org/10.1007/s11042-018-6342-5
Publikováno v:
Mathematical Problems in Engineering, Vol 2018 (2018)
In recent years, the research on age estimation based on face images has drawn more and more attention, which includes two processes: feature extraction and estimation function learning. In the aspect of face feature extraction, this paper leverages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a970c0c66a1de92b3ee731192f6d38bb
https://doi.org/10.1155/2018/1712686
https://doi.org/10.1155/2018/1712686
Publikováno v:
Optik. 127:11553-11566
Visual classification of facial pose is desirable for computer vision applications such as face recognition, human computer interaction, and affective computing. However, accurate classification of facial pose in an unconstrained environment presents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ac814e8fd52df1e3fb22d56ebeb8bac
https://doi.org/10.1016/j.ijleo.2016.09.048
https://doi.org/10.1016/j.ijleo.2016.09.048
Publikováno v:
Pattern Analysis and Applications. 20:587-600
Feature extraction from images, which are typical of high dimensionality, is crucial to the recognition performance. To explore the discriminative information while depressing the intra-class variations due to variable illumination and view condition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72200be6d39bf74beb730ac78c6c2cee
https://doi.org/10.1007/s10044-016-0572-9
https://doi.org/10.1007/s10044-016-0572-9