Results 91 to 100 of about 6,045,690 (283)
Parallel and Distributed Computing. [PDF]
, 1986 Abstract : A workshop on the complexity of parallel and distributed computation in May 1986. It has 21 speakers and 141 participants; their interests ranged from practical questions about the architecture of parallel and distributed systems to highly theoretical questions about the complexity of parallel computation.
Richard Karp, Irving Kaplansky
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Distributing Recognition in Computational Paralinguistics [PDF]
IEEE Transactions on Affective Computing, 2014 In this paper, we propose and evaluate a distributed system for multiple Computational Paralinguistics tasks in a client-server architecture. The client side deals with feature extraction, compression, and bit-stream formatting, while the server side performs the reverse process, plus model training, and classification. The proposed architecture favors
Zixing Zhang +3 more
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Adap-UIL: A Multi-Feature-Aware User Identity Linkage Framework Based on an Adaptive Graph Walk
Applied SciencesUser Identity Linkage (UIL) has emerged as a focal point of research in the field of network analysis and plays a critical role in the governance of cyberspace; related technologies can also be extended for applications in traffic safety and traffic ...
Xiaqing Xie +3 more
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A Multidimensional Trust Evaluation Framework for Online Social Networks Based on Machine Learning
IEEE Access, 2019 Due to the openness of online social networks (OSNs), they have become the most popular platforms for people to communicate with others in the expectation of sharing their opinions in a trustworthy environment. However, individuals are often exposed to a
Xu Chen +3 more
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Object-oriented Tools for Distributed Computing [PDF]
, 1993 Distributed computing systems are proliferating, owing to the availability of powerful, affordable microcomputers and inexpensive communication networks.
Adler, Richard M.
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Processing Large Amounts of Images on Hadoop with OpenCV [PDF]
, 2015 Modern image collections cannot be processed efficiently on one computer due to large collection sizes and high computational costs of modern image processing algorithms. Hence, image processing often requires distributed computing.
Epanchintsev, T., Sozykin, A.
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MEFL: Meta-Equilibrize Federated Learning for Imbalanced Data in IoT
EntropyIn the Internet of Things (IoT), data distribution among diverse terminals exhibits substantial statistical heterogeneity. This imbalance can lead to skewness and accuracy degradation, ultimately affecting the generalization ability and robustness of ...
Jialu Tang +3 more
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DCDIDP: A Distributed, Collaborative, and Data-driven IDP Framework for the Cloud [PDF]
, 2011 Recent advances in distributed computing, grid computing, virtualization mechanisms, and utility computing led into Cloud Computing as one of the industry buzz words of our decade. As the popularity of the services provided in the cloud environment grows
Joshi, James BD +2 more
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High-Throughput Computing on High-Performance Platforms: A Case Study
, 2017 The computing systems used by LHC experiments has historically consisted of the federation of hundreds to thousands of distributed resources, ranging from small to mid-size resource.
Angius, Alessio +8 more
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Detecting and Tracing i.i.d. Attacks in Networks With Any Number of Relays
IEEE Access, 2016 This paper investigates the detection and tracing problems in a multi-relay network, where a source wants to exchange the information with a destination through multiple potential malicious relay nodes.
Ruohan Cao, Shanguo Huang, Yueming Lu
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