Results 11 to 20 of about 1,251,620 (327)
HV-SNSP: A Low-Overhead Data Recovery Method Based on Cross-Checking
IEEE Access, 2023 The failure of a single unreliable commodity component is very common in large-scale distributed storage systems. In order to ensure the reliability of data in large-scale distributed storage systems, many studies have emerged one after another.
Ying Song, Tiantong Mu, Bo Wang
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Long-Tailed Visual Recognition via Improved Cross-Window Self-Attention and TrivialAugment
IEEE Access, 2023 In the real world, large-scale image data sets usually present long-tailed distribution. When traditional visual recognition methods are applied to long-tail image data sets, problems such as model failure and sudden decline in recognition accuracy occur.
Ying Song, Mengxing Li, Bo Wang
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BPR: An Erasure Coding Batch Parallel Repair Approach in Distributed Storage Systems
IEEE Access, 2023 Today, Erasure Coding is one of the most significant techniques widely used in distributed systems because it can improve reliability for large amounts of data with low storage overhead.
Ying Song, Wenxuan Zhao, Bo Wang
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FACHS: Adaptive Hybrid Storage Strategy Based on File Access Characteristics
IEEE Access, 2023 With the widespread use of distributed systems and the development of big data technology, the storage redundancy, data availability and persistence of distributed systems have become a concern.
Ying Song, Qiang Zhang, Bo Wang
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LiteDEKR: End‐to‐end lite 2D human pose estimation network
IET Image Processing, 2023 The 2D human pose estimation plays an important role in human‐computer interaction and action recognition. Although the method based on high‐resolution network has superior performance, there is still room for improvement in terms of speed and ...
Xueqiang Lv +5 more
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A Long-Tailed Image Classification Method Based on Enhanced Contrastive Visual Language
Sensors, 2023 To solve the problem that the common long-tailed classification method does not use the semantic features of the original label text of the image, and the difference between the classification accuracy of most classes and minority classes are large, the ...
Ying Song, Mengxing Li, Bo Wang
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Next Level Information Dissemination
o-bib. Das offene Bibliotheksjournal, 2022 Pandemiebedingt finden seit März 2020 an der Universitätsbibliothek der Technischen Universität Berlin Kurse nur noch im Digitalen statt. Ein Erkunden und Kennenlernen des Ortes Bibliothek war nicht mehr möglich.
Johanna Hickmann +2 more
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Keyword Extraction Method Based on BERT Semantic Weighting and Network Graph [PDF]
Jisuanji gongcheng, 2020 Based on the structural information of the document and the semantic information of external words,this paper proposes a keyword extraction method based on Bidirectional Encoder Representation from Transformer(BERT) word vectors and TextRank.Using ...
LI Jun, LÜ Xueqiang
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Universal Protocols for Information Dissemination Using Emergent Signals [PDF]
, 2017 We consider a population of $n$ agents which communicate with each other in a decentralized manner, through random pairwise interactions. One or more agents in the population may act as authoritative sources of information, and the objective of the ...
Alistarh Dan +6 more
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A study on the subject classification of the NBA match reports
MATEC Web of Conferences, 2018 In this paper, we study the task of template building in automatically generate NBA match reports from NBA live text. As a preliminary study, we collect and process the historical reports compiled by the editors and get different kinds of sentences.
Wang Zhe +3 more
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