Results 11 to 20 of about 6,920,287 (312)
Cross-domain network representations [PDF]
Pattern Recognition, 2019 The purpose of network representation is to learn a set of latent features by obtaining community information from network structures to provide knowledge for machine learning tasks. Recent research has driven significant progress in network representation by employing random walks as the network sampling strategy.
Shan Xue 0001 +2 more
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Cross-domain collaboration recommendation [PDF]
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 2012 Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patterns of cross-domain collaborations? How do those collaborations form? Can we predict this type of collaborations?Cross-domain collaborations exhibit very different patterns ...
Jie Tang 0001 +3 more
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Boosted Cross-Domain Categorization [PDF]
Proceedings of the British Machine Vision Conference 2014, 2014 A boosted cross-domain categorization framework that utilizes labeled data from other visual domains as the auxiliary knowledge for enhancing the original learning system is presented. The source domain data under a different data distribution are adapted to the target domain through both feature representation level and classification level adaptation.
Fan Zhu 0001 +2 more
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Sensors, 2022 The real-time segmentation of sidewalk environments is critical to achieving autonomous navigation for robotic wheelchairs in urban territories. A robust and real-time video semantic segmentation offers an apt solution for advanced visual perception in ...
Vishnu Pradeep +5 more
doaj +1 more source
Cross Domain Mean Approximation for Unsupervised Domain Adaptation
IEEE Access, 2020 Unsupervised Domain Adaptation (UDA) aims to leverage the knowledge from the labeled source domain to help the task of target domain with the unlabeled data. It is a key step for UDA to minimize the cross-domain distribution divergence. In this paper, we
Shaofei Zang +4 more
doaj +1 more source
Deep transfer learning mechanism for fine-grained cross-domain sentiment classification
Connection Science, 2021 The goal of cross-domain sentiment classification is to utilise useful information in the source domain to help classify sentiment polarity in the target domain, which has a large number of unlabelled data.
Zixuan Cao +3 more
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Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition [PDF]
, 2023 Despite the recent advancement in speech emotion recognition (SER) within a single corpus setting, the performance of these SER systems degrades significantly for cross-corpus and cross-language scenarios.
Raja Jurdak +10 more
core +1 more source
A characterization of the single-crossing domain [PDF]
Social Choice and Welfare, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Robert Bredereck +2 more
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An Identity-Based Cross-Domain Authenticated Asymmetric Group Key Agreement
Information, 2021 Cross-domain authenticated asymmetric group key agreement allows group members in different domains to establish a secure group communication channel and the senders can be anyone.
Qingnan Chen +4 more
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A DSL for cross-domain security [PDF]
Proceedings of the 2012 ACM conference on High integrity language technology, 2012 Guardol is a domain-specific language focused on the creation of high-assurance network guards and the specification of guard properties. The Guardol system generates Ada code from Guardol programs and also provides specification and automated verification support. Guard programs and specifications are translated to higher order logic, then deductively
Hardin, David +3 more
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