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Computer, 2016
This installment of Computer's series highlighting the work published in IEEE Computer Society journals comes from IEEE Transactions on Big Data.
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This installment of Computer's series highlighting the work published in IEEE Computer Society journals comes from IEEE Transactions on Big Data.
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Working Memory for Cross-Domain Sequences
Quarterly Journal of Experimental Psychology, 2014How is information from different content domains bound together into a representation of the whole sequence? Several theories predict that mixing information from different domains specifically impairs the ordering of information from different domains, whereas ordering within domains might be enhanced. In contrast, domain-general models—in which items
Farrell, Simon, Oberauer, Klaus
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Cross-Domain Human Action Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012Conventional human action recognition algorithms cannot work well when the amount of training videos is insufficient. We solve this problem by proposing a transfer topic model (TTM), which utilizes information extracted from videos in the auxiliary domain to assist recognition tasks in the target domain. The TTM is well characterized by two aspects: 1)
Wei Bian 0003, Dacheng Tao, Yong Rui
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Towards a Cross-Domain MapReduce Framework
MILCOM 2013 - 2013 IEEE Military Communications Conference, 2013The Apache Hadoop® framework provides parallel processing and distributed data storage capabilities that data analytics applications can utilize to process massive sets of raw data. These Big Data applications typically run as a set of MapReduce jobs to take advantage of Hadoop's ease of service deployment and large-scale parallelism.
Thuy D. Nguyen +3 more
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Tutorial on cross-domain recommender systems
Proceedings of the 8th ACM Conference on Recommender systems, 2014Cross-domain recommender systems aim to generate or enhance personalized recommendations in a target domain by exploiting knowledge (mainly user preferences) from other source domains. This may beneficial for generating better recommendations, e.g.
Cantador, Iván, CREMONESI, PAOLO
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Cross-Domain Contextualization of Sentiment Lexicons
2010The simplicity of using Web 2.0 platforms and services has resulted in an abundance of user-generated content. A significant part of this content contains user opinions with clear economic relevance - customer and travel reviews, for example, or the articles of well-known and respected bloggers who influence purchase decisions.
Stefan Gindl +2 more
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2019
Abstract The complexity of the twenty-first century threat landscape contrasts significantly with the bilateral nuclear bargaining context envisioned by classical deterrence theory. Nuclear and conventional arsenals continue to develop alongside antisatellite programs, autonomous robotics or drones, cyber operations, biotechnology, and ...
Eric Gartzke, Jon R. Lindsay
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Abstract The complexity of the twenty-first century threat landscape contrasts significantly with the bilateral nuclear bargaining context envisioned by classical deterrence theory. Nuclear and conventional arsenals continue to develop alongside antisatellite programs, autonomous robotics or drones, cyber operations, biotechnology, and ...
Eric Gartzke, Jon R. Lindsay
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A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
ACM Transactions on Information Systems, 2023Yanmin Zhu, Tianzi Zang, Jiadi Yu
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SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer
IEEE/CAA Journal of Automatica Sinica, 2022Xiaoguang Mei, Fan Fan
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