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Domain Adaptation in the Absence of Source Domain Data
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016The overwhelming majority of existing domain adaptation methods makes an assumption of freely available source domain data. An equal access to both source and target data makes it possible to measure the discrepancy between their distributions and to build representations common to both target and source domains.
Boris Chidlovskii +2 more
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Imbalanced Source-free Domain Adaptation
Proceedings of the 29th ACM International Conference on Multimedia, 2021Conventional Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a well-labeled source domain to an unlabeled target domain only when data from both domains is simultaneously accessible, which is challenged by the recent Source-free Domain Adaptation (SFDA).
Xinhao Li 0002 +4 more
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Review of Cognitive Linguistics, 2011
Two fundamental problems remain unsolved: “what counts as experiential basis, [or] … what the typology of experiential bases might be” (Grady, Taub & Morgan, 1996), and the concrete-abstract distinction (Gibbs, 1996). The paper distinguishes between concrete entities as material, and abstract as non-material.
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Two fundamental problems remain unsolved: “what counts as experiential basis, [or] … what the typology of experiential bases might be” (Grady, Taub & Morgan, 1996), and the concrete-abstract distinction (Gibbs, 1996). The paper distinguishes between concrete entities as material, and abstract as non-material.
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Metaphor and the Social World, 2019
AbstractGesture is aptly described as a “backdoor” to cognition (Sweetser, 2007, p. 203). Co-speech gesture has been shown to aid in the representation of abstract concepts (Parrill & Sweetser, 2004) and, specifically, encode metaphorical source domains (Cienki, 1998).
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AbstractGesture is aptly described as a “backdoor” to cognition (Sweetser, 2007, p. 203). Co-speech gesture has been shown to aid in the representation of abstract concepts (Parrill & Sweetser, 2004) and, specifically, encode metaphorical source domains (Cienki, 1998).
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Collaboration in Open Source Domains
International Journal of Open Source Software and Processes, 2009Free and open source software (F/OSS) developers have a tendency to build feature-centric projects rather than following a user-centered design, ignoring the necessity of usability in the resulting product. While there are many reasons behind this, the main cause can be stated as the lack of awareness of usability from developers’ point of view and ...
Görkem Çetin, Mehmet Göktürk
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Source-domain full-waveform inversions
Geophysics, 2019ABSTRACT Conventional full-waveform inversion (FWI) updates a velocity model by minimizing the data residuals between the predicted and observed data at the receiver positions. We have developed a new FWI to update the velocity model by minimizing virtual source artifacts at the receiver positions in the source-domain FWI (SFWI ...
Yulang Wu, George A. McMechan
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Cross-Domain Recommendation with Multiple Sources
2020 International Joint Conference on Neural Networks (IJCNN), 2020Data sparsity remains a challenging and common problem in real-world recommender systems, which impairs the accuracy of recommendation thus damages user experience. Cross-domain recommender systems are developed to deal with data sparsity problem through transferring knowledge from a source domain with relatively abundant data to the target domain with
Qian Zhang 0023 +2 more
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Blind source separation in frequency domain
Signal Processing, 2003A blind source separation method based on cross-correlation in frequency domain is performed in this paper. Firstly, the pseudo-solution is described and possible treatment is proposed. Then the oscillation of the un-mixing matrix is proved to be the basic aspect that degrades the separation performance for larger frame size.
Yi Zhou, Boling Xu
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On the Use of Domain Terms in Source Code
2008 16th IEEE International Conference on Program Comprehension, 2008Information about the problem domain of the software and the solution it implements is often embedded by developers in comments and identifiers. When using software developed by others or when are new to a project, programmers know little about how domain information is reflected in the source code.
Sonia Haiduc, Andrian Marcus
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Bayesian multi-source domain adaptation
2013 International Conference on Machine Learning and Cybernetics, 2013Based on the Bayesian learning principle (BayesMSDA), this paper presents a new multi-source domain adaptation framework, where one target domain and more than one source domains are used. In this framework, the label of a target data point is determined according to its posterior probability, which is calculated using the Bayesian formula.
Shi-Liang Sun, Hong-Lei Shi
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