Results 71 to 80 of about 861 (140)

Zero-Shot Aspect Category Sentiment Analysis Model with Enhanced PPLM Template [PDF]

open access: yes
Aspect category sentiment analysis (ACSA) is currently constrained by the scarcity of annotated data, making it a research challenge to achieve effective analysis without specific sentiment-labeled data. This paper transforms the zero-shot ACSA task into
FENG Lizhou, LI Mengsha, WANG Youwei, YANG Guijun
core   +1 more source

基于改进迁移学习的高压断路器新增类别故障识别方法

open access: yesGaoya 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  

基于IMU信号的人工智能上肢多关节运动状态识别系统构建——卒中后人工智能运动功能评估与检测系统建设前导研究 Construction of an Artificial Intelligence Upper Limb Multi-Joint Motion State Recognition System Based on IMU Signals—A Preliminary Study for the Development of an Artificial Intelligence Motor Function Assessment and Detection System after Stroke

open access: yesZhongguo cuzhong zazhi
目的 本研究旨在构建并研发一种基于低成本惯性测量单元(inertial measurement unit,IMU)信号的上肢多关节运动状态识别系统,用于快速、可靠地解码人类活动中的上肢多关节(前臂、肘关节、肩关节)运动状态,为卒中后上肢康复评估中的运动模式识别和日常运动监测提供支持。 方法 本研究纳入4名健康受试者,通过部署于手腕和上臂的IMU采集受试者的6维(3轴加速度+3轴角速度)运动信号,每名受试者重复10次。基于Fugl-Meyer运动功能评定量表上肢部分的屈肌协同运动,设计8个子任务 ...
程相鑫1,张烁1,杜松骏1,刘子阳1,周宏宇2,3,贾伟丽2,3,李子孝2,3,刘涛1 (CHENG Xiangxin1, ZHANG Shuo1, DU Songjun1, LIU Ziyang1, ZHOU Hongyu2,3, JIA Weili2,3, LI Zixiao2,3, LIU Tao1 )
doaj   +1 more source

Deep learning model for co-seismic response detection of fixed-point deformation data [PDF]

open access: yes
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]

open access: yes, 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]

open access: yes
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
core   +1 more source

Weight Adaptive Multi-view Spectral Clustering Algorithm Based on Consistent Graphs [PDF]

open access: yes
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
core   +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]

open access: yes, 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]

open access: yes
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

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)

open access: yesZhejiang Daxue xuebao. Lixue ban
In 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

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