CASIA OpenIR

浏览/检索结果: 共16条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Qi, Xingqun;  Sun, Muyi;  Wang, Zijian;  Liu, Jiaming;  Li, Qi;  Zhao, Fang;  Zhang, Shanghang;  Shan, Caifeng
Adobe PDF(6718Kb)  |  收藏  |  浏览/下载:124/40  |  提交时间:2024/02/22
Face photo-sketch synthesis  generative adversarial network  graph representation learning  intraclass and interclass  iterative cycle training (ICT)  
Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Li, Ding;  Zhang, Qichao;  Lu, Shuai;  Pan, Yifeng;  Zhao, Dongbin
收藏  |  浏览/下载:141/0  |  提交时间:2023/12/21
Trajectory  Predictive models  Behavioral sciences  Pipelines  Task analysis  Feature extraction  Vehicle dynamics  Conditional prediction  goal-oriented trajectory prediction  hierarchical vectorized representation  joint trajectory prediction  marginal prediction  
Spike Attention Coding for Spiking Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 7
作者:  Liu, Jiawen;  Hu, Yifan;  Li, Guoqi;  Pei, Jing;  Deng, Lei
收藏  |  浏览/下载:92/0  |  提交时间:2023/11/16
Rate coding  spike attention coding (SAC)  spiking neural networks (SNNs)  temporal coding  
Rethinking Pretraining as a Bridge From ANNs to SNNs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Lin, Yihan;  Hu, Yifan;  Ma, Shijie;  Yu, Dongjie;  Li, Guoqi
收藏  |  浏览/下载:273/0  |  提交时间:2023/03/20
Training  Task analysis  Neurons  Pipelines  Artificial neural networks  Feature extraction  Transfer learning  Event-driven dataset  neural network (NN) analysis  pretraining technique  spiking NN (SNN)  transfer learning  
Learning Skill Characteristics From Manipulations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Ni, Zhen-Liang;  Zhou, Yan-Jie;  Li, Rui-Qi;  Gui, Mei-Jiang;  Fan, Chen-Chen;  Feng, Zhen-Qiu;  Bian, Gui-Bin;  Hou, Zeng-Guang
收藏  |  浏览/下载:335/0  |  提交时间:2022/06/10
Surgery  Sensors  In vivo  Task analysis  Arteries  Measurement  Sensor phenomena and characterization  Ensemble learning  in vivo porcine studies  percutaneous coronary intervention  skill characteristics  wavelet packet decomposition (WPD)  
Machine Learning for Structure Determination in Single-Particle Cryo-Electron Microscopy: A Systematic Review 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 452-472
作者:  Wu, Jia-Geng;  Yan, Yang;  Zhang, Dong-Xu;  Liu, Bo-Wen;  Zheng, Qing-Bing;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Ge, Sheng-Xiang;  Hou, Zeng-Guang;  Xia, Ning-Shao
收藏  |  浏览/下载:272/0  |  提交时间:2022/03/17
Machine learning  Periodic structures  Task analysis  Proteins  Photomicrography  Coronaviruses  Machine learning algorithms  Clustering  deep learning (DL)  image processing  machine learning  neural network (NN)  single-particle cryo-electron microscopy (cryo-EM)  
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 1-7
作者:  Wang RQ(王瑞琪);  Zhang XY(张煦尧);  Liu CL(刘成林)
Adobe PDF(1403Kb)  |  收藏  |  浏览/下载:253/50  |  提交时间:2022/01/27
domain-agnostic few-shot recognition  image classification  meta-learning  prototypical learning  
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3555-3569
作者:  Qi, Yimeng;  Jin, Long;  Wang, Yaonan;  Xiao, Lin;  Zhang, Jiliang
收藏  |  浏览/下载:209/0  |  提交时间:2021/01/07
Computational modeling  Convergence  Mathematical model  Recurrent neural networks  Perturbation methods  Robots  Numerical models  Complex domain  discrete-time neural dynamics (DTND)  quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS)  quadratic programming (QP)  
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 6, 页码: 2064-2076
作者:  Li, Haoran;  Zhang, Qichao;  Zhao, Dongbin
浏览  |  Adobe PDF(4274Kb)  |  收藏  |  浏览/下载:388/118  |  提交时间:2020/08/03
Robot sensing systems  Navigation  Entropy  Neural networks  Task analysis  Planning  Automatic exploration  deep reinforcement learning (DRL)  optimal decision  partial observation  
Semantically Modeling of Object and Context for Categorization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1013-1024
作者:  Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
收藏  |  浏览/下载:306/0  |  提交时间:2019/12/16
Context modeling  object categorization  object modeling  semantic representation