Articles with "view learning" as a keyword



Utilising Kronecker Decomposition and Tensor-based Multi-view Learning to predict where people are looking in images

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Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2016.11.074

Abstract: Eye movement data collection is very expensive and laborious. Moreover, there are usually missing values. Assuming that we are collecting eye movement data from a set of images viewed by different users, there is a… read more here.

Keywords: learning predict; multi view; based multi; view learning ... See more keywords
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Confucius’s view of learning

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Published in 2018 at "Educational Philosophy and Theory"

DOI: 10.1080/00131857.2017.1408007

Abstract: Abstract Drawing textual evidences from the Analects (Lunyu論語) and other Confucian classics, this article attempts to clarify the contents, methods, and ultimately the nature of learning in the eyes of Confucius. The paper set out… read more here.

Keywords: philosophy; confucius; confucius view; learning confucius ... See more keywords

Human gut microbiome aging clocks based on taxonomic and functional signatures through multi-view learning

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Published in 2022 at "Gut Microbes"

DOI: 10.1080/19490976.2021.2025016

Abstract: ABSTRACT The human gut microbiome is a complex ecosystem that is closely related to the aging process. However, there is currently no reliable method to make full use of the metagenomics data of the gut… read more here.

Keywords: age; view learning; multi view; model ... See more keywords

Early identification of Schizophrenia using multi-view learning model

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Published in 2024 at "Cogent Engineering"

DOI: 10.1080/23311916.2024.2384649

Abstract: Abstract The modern lifestyle and work culture are impelling the human beings into various health issues, both physically and mentally. Schizophrenia is one such prevalent mental illness that most adults are facing these days. The… read more here.

Keywords: schizophrenia; brain; learning model; multi view ... See more keywords

Drug repositioning based on multi-view learning with matrix completion.

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Published in 2022 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbac054

Abstract: Determining drug indications is a critical part of the drug development process. However, traditional drug discovery is expensive and time-consuming. Drug repositioning aims to find potential indications for existing drugs, which is considered as an… read more here.

Keywords: view learning; matrix completion; multi view; drug ... See more keywords

SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB

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Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2020.3025900

Abstract: Recognizing movements during sleep is crucial for the monitoring of patients with sleep disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human sleep postures has not been explored widely. This study… read more here.

Keywords: postural transition; multi view; inline formula; sleep postural ... See more keywords

Developing Practical Multi-View Learning for Clinical Analytics in P4 Medicine

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Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"

DOI: 10.1109/tetc.2021.3054761

Abstract: With the immersive experience of P4 medicine (predictive, preventive, personalized and participatory), various medical applications are now transforming from periodic in-hospital service into anytime self-monitoring systems, which generates rich personal medical data required to be… read more here.

Keywords: view; developing practical; view learning; multi view ... See more keywords

Dual Low-Rank Decompositions for Robust Cross-View Learning

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Published in 2019 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2018.2865885

Abstract: Cross-view data are very popular contemporarily, as different viewpoints or sensors attempt to richly represent data in various views. However, the cross-view data from different views present a significant divergence, that is, cross-view data from… read more here.

Keywords: low rank; dual low; view; cross view ... See more keywords

NIM-Nets: Noise-Aware Incomplete Multi-View Learning Networks

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Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3226408

Abstract: Data in real world are usually characterized in multiple views, including different types of features or different modalities. Multi-view learning has been popular in the past decades and achieved significant improvements. In this paper, we… read more here.

Keywords: view; nim nets; view learning; multi view ... See more keywords

Contrastive Multi-View Learning for 3D Shape Clustering

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Published in 2024 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2023.3347842

Abstract: Unsupervised 3D shape clustering is emerging as a promising research topic in multimedia and computer vision field. Considering the flexibility of acquiring multiple views for 3D shapes, this paper proposes a contrastive multi-view learning network… read more here.

Keywords: view; contrastive multi; shape; view learning ... See more keywords

Online Multi-View Learning With Knowledge Registration Units.

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Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3256390

Abstract: In this work, we investigate online multi-view learning according to the multi-view complementarity and consistency principles to memorably process online multi-view data when fused across views. Online diverse features through different deep feature extractors under… read more here.

Keywords: view; online multi; view learning; knowledge ... See more keywords