CASIA OpenIR

浏览/检索结果: 共48条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 400-410
作者:  Dezheng Wang;  Yinglong Wang;  Fan Yang;  Liyang Xu;  Yinong Zhang;  Yiran Chen;  Ning Liao
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载:13/2  |  提交时间:2024/04/23
Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction  
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 318-330
作者:  Yu-Cheng Chou;  Bowen Li;  Deng-Ping Fan;  Alan Yuille;  Zongwei Zhou
Adobe PDF(4008Kb)  |  收藏  |  浏览/下载:9/4  |  提交时间:2024/04/23
Weak annotation, detection, localization, segmentation, colonoscopy, abdomen  
Corporate Credit Ratings Based on Hierarchical Heterogeneous Graph Neural Networks 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 257-271
作者:  Bo-Jing Feng;  Xi Cheng;  Hao-Nan Xu;  Wen-Fang Xue
Adobe PDF(2621Kb)  |  收藏  |  浏览/下载:7/3  |  提交时间:2024/04/23
Corporate credit rating, hierarchical relation, heterogeneous graph neural networks, adversarial learning  
Boosting Multi-modal Ocular Recognition via Spatial Feature Reconstruction and Unsupervised Image Quality Estimation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 197-214
作者:  Zihui Yan;  Yunlong Wang;  Kunbo Zhang;  Zhenan Sun;  Lingxiao He
Adobe PDF(3457Kb)  |  收藏  |  浏览/下载:5/1  |  提交时间:2024/04/23
Iris recognition, periocular recognition, spatial feature reconstruction, fully convolutional network, flexible matching, unsupervised iris quality assessment, adaptive weight fusion  
A Simple yet Effective Framework for Active Learning to Rank 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 169-183
作者:  Qingzhong Wang;  Haifang Li;  Haoyi Xiong;  Wen Wang;  Jiang Bian;  Yu Lu;  Shuaiqiang Wang;  Zhicong Cheng;  Dejing Dou;  Dawei Yin
Adobe PDF(2194Kb)  |  收藏  |  浏览/下载:4/3  |  提交时间:2024/04/23
Search, information retrieval, learning to rank, active learning, query by committee  
Multimodal Fusion of Brain Imaging Data: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152
作者:  Na Luo;  Weiyang Shi;  Zhengyi Yang;  Ming Song;  Tianzi Jiang
Adobe PDF(1726Kb)  |  收藏  |  浏览/下载:10/1  |  提交时间:2024/04/23
Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders  
Deep Industrial Image Anomaly Detection: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 104-135
作者:  Jiaqi Liu;  Guoyang Xie;  Jinbao Wang;  Shangnian Li;  Chengjie Wang;  Feng Zheng;  Yaochu Jin
Adobe PDF(3376Kb)  |  收藏  |  浏览/下载:9/1  |  提交时间:2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision  
Audio Mixing Inversion via Embodied Self-supervised Learning 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 55-62
作者:  Haotian Zhou;  Feng Yu;  Xihong Wu
Adobe PDF(1288Kb)  |  收藏  |  浏览/下载:5/3  |  提交时间:2024/04/23
Audio mixing inversion, intelligent audio mixing, self-supervised learning, audio signal processing, deep learning  
Shallow Feature-driven Dual-edges Localization Network for Weakly Supervised Localization 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 923-936
作者:  Wenjun Hui;  Guanghua Gu;  Bo Wang
Adobe PDF(3485Kb)  |  收藏  |  浏览/下载:6/4  |  提交时间:2024/04/23
Weakly supervised object localization, edge feature mining, edge of shallow feature map, edge of shallow gradients, similarity measurement  
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908
作者:  Gaoxiang Li;  Xiao Hui;  Wenjing Li;  Yanlin Luo
Adobe PDF(2873Kb)  |  收藏  |  浏览/下载:7/2  |  提交时间:2024/04/23
Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge