Zobrazeno 1 - 10
of 295
pro vyhledávání: '"Sheng-Uei Guan"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2020, Iss 1, Pp 1-9 (2020)
Abstract This paper addresses the recognitions of human actions in videos. Human action recognition can be seen as the automatic labeling of a video according to the actions occurring in it. It has become one of the most challenging and attractive pr
Externí odkaz:
https://doaj.org/article/e68548e68cc74347aa457821c3196846
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1241 (2023)
Artificial intelligence (AI) systems are becoming wiser, even surpassing human performances in some fields, such as image classification, chess, and Go. However, most high-performance AI systems, such as deep learning models, are black boxes (i.e., o
Externí odkaz:
https://doaj.org/article/798b3e05201b4742bdc1219e8ff55f40
Publikováno v:
Symmetry, Vol 12, Iss 5, p 852 (2020)
Benefiting from the rapid development of big data and high-performance computing, more data is available and more tasks could be solved by machine learning now. Even so, it is still difficult to maximum the power of big data due to each dataset is is
Externí odkaz:
https://doaj.org/article/1c018cdbc093417c93c74d98ea683a67
Publikováno v:
Symmetry, Vol 7, Iss 1, Pp 53-66 (2015)
Machine learning is a very important approach to pattern classification. This paper provides a better insight into Incremental Attribute Learning (IAL) with further analysis as to why it can exhibit better performance than conventional batch training
Externí odkaz:
https://doaj.org/article/41e8185dc49f4b139193ec292b3503a3
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 8, Iss 3 (2015)
Incremental Attribute Learning (IAL) is a feasible approach for solving high-dimensional pattern recognition problems. It gradually trains features one by one. Previous research indicated that supervised machine learning with input attribute ordering
Externí odkaz:
https://doaj.org/article/60df427411da4b35b463f47099997a5a
Publikováno v:
Symmetry, Vol 9, Iss 11, p 283 (2017)
The importance of an interference-less machine learning scheme in time series prediction is crucial, as an oversight can have a negative cumulative effect, especially when predicting many steps ahead of the currently available data. The on-going rese
Externí odkaz:
https://doaj.org/article/773598fb69c3448aa59952a4694ff62e
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
Since conventional methods are incapable of estimating the parameters of Photovoltaic (PV) models with high accuracy, bioinspired algorithms have attracted significant attention in the last decade. Cuckoo Search (CS) is invented based on the inspirat
Externí odkaz:
https://doaj.org/article/eaf3ca844da04bcd99035f35a7d8e5ee
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
Precise photovoltaic (PV) behavior models are normally described by nonlinear analytical equations. To solve such equations, it is necessary to use iterative procedures. Aiming to make the computation easier, this paper proposes an approximate single
Externí odkaz:
https://doaj.org/article/a88f3e38229b489bb983ef8803fbb3ab
Publikováno v:
JOURNAL OF SUPERCOMPUTING
Video anomaly detection is the problem of detecting unusual events in videos. The challenges of this task lie mainly in the following aspects: first, unusual events tend to make up only a very small portion of a video, which means a large amount of u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46f6cd05eb0096fa0c589e80928e5e08
https://doi.org/10.1007/s11227-021-04007-9
https://doi.org/10.1007/s11227-021-04007-9
It is crucial to choose the appropriate scale in order to build an effective and informative representation of a complex system. Scientists carefully choose the scales for their experiments to extract the variables that describe the causalities in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f35ed69fa825befb9a95acd1d768c14
