Results 51 to 60 of about 7,549,002 (298)
Multi-source Multi-target Domain Adaptation Based on Evidence Theory [PDF]
Domain adaptation usually confronts the multiple source and multiple target domains issue. In such case, the reduction of distribution discrepancy across domains and the combination of information in diverse domains are two major subproblems.
Fan, Jinfu +3 more
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GodišnjakThe paper is concerned with the metaphorical meanings of the verbs of perception in Serbian – vidjeti (see) and pogledati (look at) – in Bishop Atanasije’s translation of the Hebrew text of the Book of Genesis and in his comments accompanying specific ...
Љерка Јефтић
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IET Computer Vision, 2020 Unsupervised domain adaption aims to reduce the divergence between the source domain and the target domain. The final objective is to learn domain‐invariant features from both domains that get the minimised expected error on the target domain.
Xingmei Wang, Boxuan Sun, Hongbin Dong
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Respectus Philologicus, 2020 The paper discusses source domains of smell related metaphorical collocations. The research is limited to metaphorical collocations with pleasant smell denoting words scent, fragrance, aroma, and perfume in the Corpus of Contemporary American English ...
Linas Selmistraitis, Renata Boikova
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport
, 2022 This work addresses the problem of domain adaptation on an unlabeled target dataset using knowledge from multiple labelled source datasets. Most current approaches tackle this problem by searching for an embedding that is invariant across source and ...
Rémi Flamary +3 more
core
Multiple-source Domain Adaptation in Rule-based Neural Network [PDF]
, 2020 © 2020 IEEE. Domain adaptation uses the previously acquired knowledge (source domain) to support predicted tasks in the current domain without sufficient labeled data (target domain).
Zhang, G +5 more
core +1 more source
A Long Time Span-Specific Emitter Identification Method Based on Unsupervised Domain Adaptation
Remote Sensing, 2023 Specific emitter identification (SEI) is a professional technology to recognize different emitters by measuring the unique features of received signals. It has been widely used in both civilian and military fields.
Pengfei Liu +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess +5 more
wiley +1 more source
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation
, 2020 Multi-source domain adaptation has received considerable attention due to its effectiveness of leveraging the knowledge from multiple related sources with different distributions to enhance the learning performance.
Wu, Q, Ng, MK, Yan, Y, Wu, H
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