Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Xiaoshuang Sang"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 7, Pp 102129- (2024)
Multi-view graph clustering has garnered tremendous interest for its capability to effectively segregate data by harnessing information from multiple graphs representing distinct views. Despite the advances, conventional methods commonly construct si
Externí odkaz:
https://doaj.org/article/1cab78e3e1994f8dbc73f856eddc6135
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Emotion recognition plays an essential role in interpersonal communication. However, existing recognition systems use only features of a single modality for emotion recognition, ignoring the interaction of information from the different modalities. T
Externí odkaz:
https://doaj.org/article/120b7fd4acbe47e898dfd1e61b5289da
Publikováno v:
IEEE Access, Vol 8, Pp 5749-5759 (2020)
Community detection is a critical issue in the field of complex networks. Recently, the nonnegative matrix factorization (NMF) method has successfully uncovered the community structure in the complex networks. However, this method has a significant d
Externí odkaz:
https://doaj.org/article/07173d79b282480f89af05f374d6bc8f
Publikováno v:
Information Sciences. 609:816-837
Publikováno v:
Information Sciences. 547:384-403
Nuclear norm based matrix regression (NMR) approaches have yielded encouraging recognition results in the presence of image-level noise. However, NMR methods have two shortcomings. One is that test samples are directly used in the reconstruction proc
Publikováno v:
Neurocomputing. 415:247-257
Community detection in networks is valuable in analyzing, designing, and optimizing complex network. Recently, the nonnegative matrix factorization (NMF) method has successfully uncovered the community structure in the complex networks. However, most
Publikováno v:
Neural Computing and Applications. 32:17551-17567
Most existing regression-based classification methods cope with pixelwise noise via $$\ell _1$$ -norm or $$\ell _2$$ -norm, but neglect the structural information between pixels. To the best of our knowledge, nuclear norm-based matrix regression appr
Publikováno v:
Neural Processing Letters. 51:1731-1748
Community detection is a critical issue in the field of complex networks. Capable of extracting inherent patterns and structures in high dimensional data, the non-negative matrix factorization (NMF) method has become one of the hottest research topic
Autor:
Qinghua Zhao, Hichem Metmer, Jianfeng Lu, Zar Nawab Khan Swati, Alzheimer's Disease NeuroImaging Initiative, Xiaoshuang Sang
Publikováno v:
Cortex. 120:36-48
Functional connectivity pattern altered of default mode network (DMN) is gaining more attention as a potential noninvasive biomarker to diagnose incipient Alzheimer's disease. However, the changed functional connectivity except for DMN, the longitudi
Publikováno v:
2018 IEEE International Conference on Progress in Informatics and Computing (PIC).
A novel method for fuzzy time series (FTS) forecasting is presented based on improved fuzzy C-means clustering algorithm (IFCM) and first-order difference. Traditional forecasting approaches have weighted the central values of fuzzy intervals corresp