Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xi Wen Qin"'
Publikováno v:
PLoS ONE, Vol 16, Iss 10, p e0258326 (2021)
Gene expression data has the characteristics of high dimensionality and a small sample size and contains a large number of redundant genes unrelated to a disease. The direct application of machine learning to classify this type of data will not only
Externí odkaz:
https://doaj.org/article/fe5964de855540498082f32ea101742b
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 10, p e0258326 (2021)
PLoS ONE, Vol 16, Iss 10, p e0258326 (2021)
Gene expression data has the characteristics of high dimensionality and a small sample size and contains a large number of redundant genes unrelated to a disease. The direct application of machine learning to classify this type of data will not only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed42e3e43c9a1ff913489c6e67a73031
https://pubmed.ncbi.nlm.nih.gov/34644329
https://pubmed.ncbi.nlm.nih.gov/34644329
Publikováno v:
DEStech Transactions on Social Science, Education and Human Science.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d47eec066edad992d35405abf367ed2b
https://doi.org/10.12783/dtssehs/icssm2018/27140
https://doi.org/10.12783/dtssehs/icssm2018/27140
Publikováno v:
Applied Mechanics and Materials. :1228-1232
In this paper, facial expression recognition as the starting point, it is extracted the mixing characteristics of the facial expression, including geometric and texture features. It can solve the problem of the collection contains the degree based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::434c8dbdbc624d704d0814e43b60a355
https://doi.org/10.4028/www.scientific.net/amm.411-414.1228
https://doi.org/10.4028/www.scientific.net/amm.411-414.1228
Publikováno v:
Advanced Materials Research. :1398-1403
It makes a series of improvements of the traditional oriented way of human face, which is based on ASM. First, we orientate some outstanding feature points on the basis of the results of face test, then make use of these feature points to initialize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dccdd30716e060fadf05b79cbd203e6b
https://doi.org/10.4028/www.scientific.net/amr.546-547.1398
https://doi.org/10.4028/www.scientific.net/amr.546-547.1398