Results 101 to 110 of about 4,969,023 (298)

Informative Feature Selection for Domain Adaptation

IEEE Access, 2019
Domain adaptation aims at extracting knowledge from an auxiliary source domain to assist the learning task in a target domain. When the data distribution of the target domain is different from that of the source domain, the direct use of source data for ...
Feng Sun, Hanrui Wu, Zhihang Luo, Wenwen Gu, Yuguang Yan, Qing Du   +5 more
doaj   +1 more source

Unsupervised Domain Adaptation Based on Correlation Maximization

IEEE Access, 2021
This research proposes a novel unsupervised domain adaptation algorithm for cross-domain visual recognition. Distance Correlation-based Domain Adaptation or DCDA algorithm is developed by a correlation measure, called distance correlation.
Lida Abdi, Sattar Hashemi
doaj   +1 more source

Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos

, 2017
Despite rapid advances in face recognition, there remains a clear gap between the performance of still image-based face recognition and video-based face recognition, due to the vast difference in visual quality between the domains and the difficulty of ...
Chandraker, Manmohan, Liu, Sifei, Sohn, Kihyuk, Yang, Ming-Hsuan, Yu, Xiang, Zhong, Guangyu   +5 more
core   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Generalization Bounds for Representative Domain Adaptation [PDF]

, 2014
In this paper, we propose a novel framework to analyze the theoretical properties of the learning process for a representative type of domain adaptation, which combines data from multiple sources and one target (or briefly called representative domain ...
Fan, Wei, Ye, Jieping, Zhang, Chao, Zhang, Lei   +3 more
core  

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

Privacy-Preserving Unsupervised Domain Adaptation in Federated Setting

IEEE Access, 2020
The training of deep neural networks relies on massive high-quality labeled data which is expensive in practice. To tackle this problem, domain adaptation is proposed to transfer knowledge from label-rich source domain to unlabeled target domain to learn
Lei Song, Chunguang Ma, Guoyin Zhang, Yun Zhang   +3 more
doaj   +1 more source

Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis

Chinese Journal of Mechanical Engineering, 2021
In machinery fault diagnosis, labeled data are always difficult or even impossible to obtain. Transfer learning can leverage related fault diagnosis knowledge from fully labeled source domain to enhance the fault diagnosis performance in sparsely labeled
Yixiao Liao, Ruyi Huang, Jipu Li, Zhuyun Chen, Weihua Li   +4 more
doaj   +1 more source

Molecular bases of circadian magnesium rhythms across eukaryotes

FEBS Letters, EarlyView.
Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley   +1 more source

Domain Adaptation with Sentiment Domain Adapter

The field of domain adaptation, particularly in cross-domain sentiment classification, leverages labeled data from a source domain alongside unlabeled or sparsely labeled data from a target domain. The objective is to enhance performance in the target domain by mitigating the discrepancies in data distributions.
Aiden Carter, Wyne Nasir, Ethan Parker
openaire   +1 more source