Results 11 to 20 of about 1,219,902 (326)
Agreement in Epidemic Information Dissemination [PDF]
, 2016 Consensus is one of the fundamental problems in multi-agent systems and distributed computing, in which agents or processing nodes are required to reach global agreement on some data value, decision, action, or synchronisation. In the absence of centralised coordination, achieving global consensus is challenging especially in dynamic and large-scale ...
Giuseppe Di Fatta +2 more
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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
doaj +1 more source
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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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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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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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
core +4 more sources
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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A Searching Method of Candidate Segmentation Point in SPRINT Classification
Journal of Electrical and Computer Engineering, 2016 SPRINT algorithm is a classical algorithm for building a decision tree that is a widely used method of data classification. However, the SPRINT algorithm has high computational cost in the calculation of attribute segmentation. In this paper, an improved
Zhihao Wang +4 more
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