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pro vyhledávání: '"De-Wen Hu"'
Front cover: The cover image, by Bao‐Juan Li et al., is based on the Review Article A brain network model for depression: From symptom understanding to disease intervention. DOI: https://doi.org/10.1111/cns.12998. [Image: see text]
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::254ed80c7144d76a5bd69027ded2ff98
https://europepmc.org/articles/PMC6489795/
https://europepmc.org/articles/PMC6489795/
Autor:
De Wen Hu, Jian Zhai Wu
Publikováno v:
Applied Mechanics and Materials. :1030-1034
In this paper we propose a powerful visual event pattern learning method to address the issue of high-level video understanding. We first model the deformable temporal structure of the action event in videos by a temporal composition of several primi
Publikováno v:
Applied Mechanics and Materials. :970-973
This paper presents two novel approaches for palmprint verification by scene match- ing. In a sense, the process of palmprint verification can be regarded as matching one palmprint template with another palmprint sample taken under conditions of diff
Publikováno v:
Applied Mechanics and Materials. :1279-1283
Independent Component Analysis (ICA) is a powerful method which aims at representing a given random signal as a sum of independent sources. The engineering community, however, works at the distribution function or characteristic function level while
Publikováno v:
Behavioural Brain Research. 227:125-133
There are ample functional magnetic resonance imaging (fMRI) studies on functional brain asymmetries, and the asymmetry of cerebral network in the resting state may be crucial to brain function organization. In this paper, a unified schema of voxel-w
Publikováno v:
Journal of Computer Applications. 30:2559-2562
Publikováno v:
Acta Automatica Sinica. 36:130-138
Publikováno v:
Acta Automatica Sinica. 34:433-436
This paper explores the potential of combating the decoherence by associating quantum generalized measurement with decoherence-free subspaces (DFS). It is demonstrated that associating quantum generalized subspace projector measurement (QGSPM) and qu
Publikováno v:
Journal of Central South University of Technology. 13:699-702
An on-demand distributed clustering algorithm based on neural network was proposed. The system parameters and the combined weight for each node were computed, and cluster-heads were chosen using the weighted clustering algorithm, then a training set
Publikováno v:
Journal of Computer Applications. 29:2710-2712