Results 91 to 100 of about 3,233,192 (305)

Incremental Data Stream Classification with Adaptive Multi-Task Multi-View Learning

Big Data Mining and Analytics
With the enhancement of data collection capabilities, massive streaming data have been accumulated in numerous application scenarios. Specifically, the issue of classifying data streams based on mobile sensors can be formalized as a multi-task multi-view
Jun Wang, Maiwang Shi, Xiao Zhang, Yan Li, Yunsheng Yuan, Chenglei Yang, Dongxiao Yu   +6 more
doaj   +1 more source

Multi-view Clustering: A Survey

Big Data Mining and Analytics, 2018
In the big data era, the data are generated from different sources or observed from different views. These data are referred to as multi-view data. Unleashing the power of knowledge in multi-view data is very important in big data mining and analysis ...
Yan Yang, Hao Wang
doaj   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

FEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Calpain small subunit homodimerization is robust and calcium‐independent

FEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy, Trina Dykstra‐MacPherson, Mathias A. Bell, Peter L. Davies, Ruby May A. Sullan   +4 more
wiley   +1 more source

MVSGaussian: fast generalizable Gaussian splatting reconstruction from multi-view stereo [PDF]

We present MVSGaussian, a new generalizable 3D Gaussian representation approach derived from Multi-View Stereo (MVS) that can efficiently reconstruct unseen scenes. Specifically, 1) we leverage MVS to encode geometry-aware Gaussian representations and
Shen, Liao, Liu, Tianqi, Hu, Shoukang, Ye, Xinyi, Wang, Guangcong, Li, Wei, Liu, Ziwei, Zang, Yuhang, Cao, Zhiguo   +8 more
core   +1 more source

Co-labeling: A new multi-view learning approach for ambiguous problems [PDF]

, 2012
We propose a multi-view learning approach called co-labeling which is applicable for several machine learning problems where the labels of training samples are uncertain, including semi-supervised learning (SSL), multi-instance learning (MIL) and max ...
Duan, L, Duan, Lixin, Wen Li, Tsang, Ivor Wai-Hung, Ivor Wai-Hung Tsang, Xu, Dong, Lixin Duan, Li, Wen, Tsang, Ivor Wai Hung, Dong Xu, Li, W, Tsang, IWH, Xu, D   +12 more
core   +1 more source

A Feature-Reduction Multi-View k-Means Clustering Algorithm

IEEE Access, 2019
The k-means clustering algorithm is the oldest and most known method in cluster analysis. It has been widely studied with various extensions and applied in a variety of substantive areas.
Miin-Shen Yang, Kristina P. Sinaga
doaj   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Multi-view subspace clustering for face images [PDF]

, 2015
© 2015 IEEE. In many real-world computer vision applications, such as multi-camera surveillance, the objects of interest are captured by visual sensors concurrently, resulting in multi-view data.
X Zhang (6084905), W Liu (7349393), QD Phung (14545187), DS Pham (14545178), Svetha Venkatesh (13096653)   +4 more
core  

Multi‐view synergistic enhanced fault recording data for transmission line fault classification

IET Communications
Fault recorded data has been proven to be effective for fault diagnosis of overhead transmission lines. Utilizing deep learning to mine potential fault patterns in fault recording data is an inevitable trend.
Minghui Jia, Xiaohu Huang, Fengjun Han, Dequan Yan, Wei Wang, Guochao Zhu, Lin Zhang, Chao Pan, Haifeng Ma, Jidong Wei   +9 more
doaj   +1 more source