Results 71 to 80 of about 815 (137)
Lightweight Recognition Method Based on Edge Computing [PDF]
The emergence of the "new retail" model has significant implications in transforming the traditional retail industry and providing enhanced consumer experience.
LI Zhijin, TANG Jiahui, YAN Jinfeng
core +1 more source
Gaoya dianqi针对实际高压断路器故障发生的时空不确定性和暂态过程的随机性引发新增类别的未知故障类型，且其样本分布呈现长尾特性，导致现有故障识别模型出现误判的问题，提出了一种基于改进迁移学习的高压断路器新增类别故障精准识别方法。首先，提取实际在运高压断路器振动信号的多维特征参数，构建具有强特征提取能力的故障识别模型。其次，通过计算Mahalanobis距离和置信度辨识新增类别的未知故障。最后，采用伪标签和迁移学习将长尾分布的未知故障类别纳入模型训练，更新后的模型能够准确预测运行数据的故障类型。结果表明 ...
王兴华 +3 more
doaj
Deep learning model for co-seismic response detection of fixed-point deformation data [PDF]
Co-seismic response identification of fixed-point deformation data currently relies on manual selection, and no automatic co-seismic response detection method has yet been applied.
Liming Zhao +4 more
core +1 more source
Research on Pedestrian Detection in Static Images [PDF]
, 2010 行人检测作为目标检测的重要分支，是计算机视觉领域的前沿方向和研究热点，在智能视频监控、汽车辅助驾驶、高级人机接口及人体运动分析等众多领域有着广泛的应用前景。由于行人检测涉及多门学科知识，且受穿着、光照、姿态、尺度、视角和复杂背景等多种因素的影响，至今仍然没有取得令人满意的效果。本文围绕静态图像的行人检测展开研究，创新点主要包含两个部分： 1、针对现有基于整体的行人检测方法需要大量标记样本的缺点，提出了一种基于迁移学习的半监督行人分类方法：首先通过稀疏编码，从任意的未标记样本中学习到一个紧凑 ...
谢尧芳
core
Program semantic analysis model for code reuse detection [PDF]
Program similarity analysis had a wide range of applications in areas such as code plagiarism and property protection, but it generally suffered from problems such as excessive computational overhead, a code similarity analysis method based on fuzzy ...
GUO Xi, WANG Pan
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Weight Adaptive Multi-view Spectral Clustering Algorithm Based on Consistent Graphs [PDF]
With the popularity of mobile devices and the Internet, it has become easier to collect and share multi-view data. Multi-view data can describe data from multiple views more accurately.
Lijuan WANG, Jinping XING, Ming YIN, Zhifeng HAO, Ruichu CAI, Wen WEN
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Micro-expression recognition based on self-supervised masked optical flow(基于自监督掩码光流的人脸微表情识别)
Zhejiang Daxue xuebao. Lixue banIn the field of micro-expression recognition, existing feature extraction methods primarily rely on supervised learning techniques, which limits the model's generalizability on feature representation and their application scenarios. To address this issue,
刘晓宇(LIU Xiaoyu) +2 more
doaj +1 more source
丹戎布拉国立大学汉语专业2014届学生使用“比”字句的偏误分析 [PDF]
, 2017 摘要 比较句是在日常生活经常用到的句式。比较句是对两种事物或者人进行比较的句子，因此，比较句中一定要出现比较项和被比较项，同时，必须出现比较的结果。对汉语作为第二语言的学习者来说，印尼语与汉语中的比较句的句式并不相同, 所以学生容易产生误用。笔者对丹戎布拉国立大学汉语专业2014届学生使用“比”字句进行测验，分析学生的偏误与找出其原因。从测验的结果，笔者总结出学生使用“比” 字句的错序偏误率，为52,27%。学生使用“比”字句出现偏误的原因由受到印尼语的影响与学生对教材的理解不同 ...
Viria, V. (Viria)
core
Survey of Uyghur Machine Translation Research [PDF]
As one of the important tasks in China's low-resource machine translation research, the development and application of Uyghur machine translation can better promote cultural exchanges and trade between different regions and ethnic groups.However, Uyghur,
Halidanmu ABUDUKELIMU, Yutao HOU, Dengfeng YAO, Abudukelimu ABULIZI, Jishang CHEN
core +1 more source
[Prognostic model of small sample critical diseases based on transfer learning]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2020 Xia J +5 more
europepmc +1 more source