中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Physics-Inspired Spatial-Temporal Graph Neural Networks for Predicting Industrial Chain Resilience 期刊论文
Journal of Machine Learning Research, 2024, 卷号: 4, 期号: 23, 页码: 1-23
作者:  Wang BC(王必成);  Wang JP(王军平)
Adobe PDF(2342Kb)  |  收藏  |  浏览/下载：69/20  |  提交时间：2024/06/12
The Human Continuity Activity Semisupervised Recognizing Model for Multiview IoT Network 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 11, 页码: 9398-9410
作者:  Yuan, Ruiwen;  Wang, Junping
Adobe PDF(1944Kb)  |  收藏  |  浏览/下载：106/4  |  提交时间：2023/11/17
Feature extraction  Sensors  Human activity recognition  Internet of Things  Data models  Sensor phenomena and characterization  Data mining  Activity feature extraction  deep learning  human activity recognition (HAR)  semisupervised learning  
An attention-based multi-task model for named entity recognition and intent analysis of Chinese online medical questions 期刊论文
Journal of Biomedical Informatics, 2020, 卷号: 108, 期号: 108, 页码: 103511
作者:  Wu, Chaochen;  Luo, Guan;  Guo, Chao;  Ren, Yin;  Zheng, Anni;  Yang, Cheng
浏览  |  Adobe PDF(1191Kb)  |  收藏  |  浏览/下载：234/88  |  提交时间：2020/10/13
Natural language processingDeep learningMulti-task learningNamed entity recognitionIntent analysisInterpretability  
A cascaded method for text detection in natural scene images 期刊论文
Neurocomputing, 2017, 卷号: 238, 期号: 238, 页码: 307-315
作者:  Yang, Zheng;  Qing, Li;  Jie, Liu;  Heping, Liu;  Gen, Li;  Shuwu, Zhang
浏览  |  Adobe PDF(2826Kb)  |  收藏  |  浏览/下载：271/73  |  提交时间：2019/10/09
Extremal Regions  Recursive Local Search  Text Line Entropy  Convolutional Neural Network  
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文
IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042
作者:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
浏览  |  Adobe PDF(865Kb)  |  收藏  |  浏览/下载：451/149  |  提交时间：2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion