CASIA OpenIR

浏览/检索结果: 共118条,第1-10条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Enhance the Performance of Directional Feature-based Palmprint Recognition by Directional Response Stability Measurement 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 597-614
作者:  Haitao Wang;  Wei Jia
Adobe PDF(1236Kb)  |  收藏  |  浏览/下载:27/10  |  提交时间:2024/05/23
Biometrics, palmprint recognition, directional response stability, directional coding-based methods, directional feature  
Generalized Embedding Machines for Recommender Systems 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 571-584
作者:  Enneng Yang;  Xin Xin;  Li Shen;  Yudong Luo;  Guibing Guo
Adobe PDF(1617Kb)  |  收藏  |  浏览/下载:13/6  |  提交时间:2024/05/23
Feature interactions, high-order interaction, factorization machine (FM), recommender system, graph neural network (GNN)  
Dual Frequency Transformer for Efficient SDR-to-HDR Translation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 538-548
作者:  Gang Xu;  Qibin Hou;  Ming-Ming Cheng
Adobe PDF(2981Kb)  |  收藏  |  浏览/下载:12/6  |  提交时间:2024/05/23
Standard-dynamic-range to high-dynamic-range (SDR-to-HDR) translation, Transformer, dual frequency attention (DFA), frequency-aware feature decomposition, efficient model  
Structural Dependence Learning Based on Self-attention for Face Alignment 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 514-525
作者:  Biying Li;  Zhiwei Liu;  Wei Zhou;  Haiyun Guo;  Xin Wen;  Min Huang;  Jinqiao Wang
Adobe PDF(5139Kb)  |  收藏  |  浏览/下载:16/6  |  提交时间:2024/05/23
Computer vision, face alignment, self-attention, facial structure, contextual information  
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430
作者:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao;  Wancheng Ni;  Kaiqi Huang;  Bin Liang;  Liang Wang
Adobe PDF(2923Kb)  |  收藏  |  浏览/下载:6/4  |  提交时间:2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox  
Comprehensive Relation Modelling for Image Paragraph Generation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 369-382
作者:  Xianglu Zhu;  Zhang Zhang;  Wei Wang;  Zilei Wang
Adobe PDF(1963Kb)  |  收藏  |  浏览/下载:16/8  |  提交时间:2024/04/23
Image paragraph generation, visual relationship, scene graph, graph convolutional network (GCN), long short-term memory  
Enhancing Multi-agent Coordination via Dual-channel Consensus 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 349-368
作者:  Qingyang Zhang;  Kaishen Wang;  Jingqing Ruan;  Yiming Yang;  Dengpeng Xing;  Bo Xu
Adobe PDF(4997Kb)  |  收藏  |  浏览/下载:20/7  |  提交时间:2024/04/23
Multi-agent reinforcement learning, contrastive representation learning, consensus, multi-agent cooperation, cognitive consistency  
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 283-293
作者:  Bowen Chen;  Xiao Ding;  Yi Zhao;  Bo Fu;  Tingmao Lin;  Bing Qin;  Ting Liu
Adobe PDF(1796Kb)  |  收藏  |  浏览/下载:18/3  |  提交时间:2024/04/23
Cognition inspired natural language processing, psycholinguistics, explainability, text difficulty, curriculum learning  
GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 272-282
作者:  Jing Hu;  Lingfei Wu;  Yu Chen;  Po Hu;  Mohammed J. Zaki
Adobe PDF(1612Kb)  |  收藏  |  浏览/下载:17/4  |  提交时间:2024/04/23
Conversational machine comprehension (MC), reading comprehension, question answering, graph neural networks (GNNs), natural language processing (NLP)  
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:19/6  |  提交时间:2024/04/23
Corporate credit rating, hierarchical relation, heterogeneous graph neural networks, adversarial learning