Zobrazeno 1 - 10
of 77
pro vyhledávání: '"John R. Deller"'
Autor:
John R. Deller
Publikováno v:
Mathematics for Circuits and Filters ISBN: 9781315214023
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69818179f03b810beab06adf31a37634
https://doi.org/10.1201/9781315214023-3
https://doi.org/10.1201/9781315214023-3
Autor:
Pedro C. Nariyoshi, John R. Deller
Publikováno v:
Neuroscience Informatics, Vol 1, Iss 1, Pp 100001-(2021)
New causality (NC) is a relatively recent method for inferring causal relationships between time-series data. Similar to other popular causal inference methods, like Granger causality (GC), NC can be evaluated in time or frequency domain. NC derives
Autor:
Huiyan Wang, John R. Deller, Hujun Bao, Xiaolan Li, Jing Hua, Xun Wang, Yixiang Yan, Guofeng Zhang, Yutao Yang
Publikováno v:
Pattern Recognition. 67:340-352
Multilevel important salient map and colour feature for robust appearance modeling.A novel multicategory incremental modeling for accurate realtime object recognition.Only few samples for building an accurate classification model.New target objects c
Autor:
Jinyao Yan, John R. Deller
Publikováno v:
Signal Processing. 123:30-41
A method is presented for identification of system models that are linear in parametric structure, but arbitrarily nonlinear in signal operations. The fundamental parameter estimation task uses a set-theoretic analysis of the data to deduce feasible
Autor:
John R. Deller, Jinyao Yan
Publikováno v:
IFAC-PapersOnLine. 48:178-183
The paper reports a method for identification of parametric models that are linear and time-invariant in parameters, but arbitrarily nonlinear in signals. Set-bounding solutions are exploited to simultaneously identify and parametrize the model struc
Publikováno v:
2017 36th Chinese Control Conference (CCC).
A novel set-membership-based smoothing method for state estimation using the optimal bounding ellipsoid (OBE) algorithms is presented. OBE filters have been proven to be effective in state estimation problems with unknown but bounded errors. Compared
Autor:
Haoyu Peng, Liu Riji, Xun Wang, Huiyan Wang, John R. Deller, Wei-Gang Chen, Leqing Zhu, Jia Zheng, Xiaolan Li, Hujun Bao
Publikováno v:
Pattern Recognition. 47:3841-3851
Matching objects across multiple cameras with non-overlapping views is a necessary but difficult task in the wide area video surveillance. Owing to the lack of spatio-temporal information, only the visual information can be used in some scenarios, es
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 8:594-604
The use of the human pulse signal for medical diagnosis is a mainstay in the practice of traditional Chinese medicine. Computer processing of this signal may be used to automate diagnostic procedures and to reveal sources of information in the wavefo
Publikováno v:
Mathematical Problems in Engineering, Vol 2014 (2014)
Training overcomplete dictionary pair is a critical step of the mainstream superresolution methods. For the high time complexity and susceptible to corruption characteristics of training dictionary, an improved method based on lifting wavelet transfo
Publikováno v:
2016 International Conference on Computational Science and Computational Intelligence (CSCI).
This paper describes an initial step in developing a set of quasi-patient profiles, each representing a complete longitudinal medical history of Alzheimer's disease (AD) – from normal health to the clinical emergence of the disease and beyond. Quas