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Contrastive Correlation Preserving Replay for Online Continual Learning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 124-139
作者:  Yu, Da;  Zhang, Mingyi;  Li, Mantian;  Zha, Fusheng;  Zhang, Junge;  Sun, Lining;  Huang, Kaiqi
收藏  |  浏览/下载：29/0  |  提交时间：2024/03/26
Task analysis  Correlation  Knowledge transfer  Training  Memory management  Data models  Mutual information  Continual learning  catastrophic forgetting  class-incremental learning  experience replay  
Dynamic adaptive multi-objective optimization algorithm based on type detection 期刊论文
INFORMATION SCIENCES, 2024, 卷号: 654, 页码: 16
作者:  Cai, Xingjuan;  Wu, Linjie;  Zhao, Tianhao;  Wu, Di;  Zhang, Wensheng;  Chen, Jinjun
收藏  |  浏览/下载：58/0  |  提交时间：2024/02/22
Adaptive response strategy  Type detection  Dynamic multi-objective optimization  Transfer learning  
DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 12
作者:  Liu, Shuaiqi;  Wang, Zeyao;  An, Yanling;  Li, Bing;  Wang, Xinrui;  Zhang, Yudong
收藏  |  浏览/下载：33/0  |  提交时间：2024/02/22
EEG emotion recognition  Capsule network  Adversarial domain adaptation  Transfer learning  
EEGNet-based multi-source domain filter for BCI transfer learning 期刊论文
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2023, 页码: 12
作者:  Li, Mengfan;  Li, Jundi;  Song, Zhiyong;  Deng, Haodong;  Xu, Jiaming;  Xu, Guizhi;  Liao, Wenzhe
收藏  |  浏览/下载：37/0  |  提交时间：2024/02/22
Brain-computer interface  Multi-source domain filter  Transfer learning  Ensemble learning  EEGNet  
A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2023, 卷号: 42, 期号: 5, 页码: 16
作者:  Zhang, Yuxin;  Tang, Fan;  Dong, Weiming;  Huang, Haibin;  Ma, Chongyang;  Lee, Tong-Yee;  Xu, Changsheng
收藏  |  浏览/下载：116/0  |  提交时间：2023/12/21
Arbitrary style transfer  contrastive learning  style encoding  
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：239/0  |  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  
Dynamic Domain Adaptation for Class-Aware Cross-Subject and Cross-Session EEG Emotion Recognition 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 卷号: 26, 期号: 12, 页码: 5964-5973
作者:  Li, Zhunan;  Zhu, Enwei;  Jin, Ming;  Fan, Cunhang;  He, Huiguang;  Cai, Ting;  Li, Jinpeng
收藏  |  浏览/下载：246/0  |  提交时间：2023/02/22
Brain-computer interface  emotion recognition  transfer learning  domain adaptation  
CampNet: Context-Aware Mask Prediction for End-to-End Text-Based Speech Editing 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2022, 卷号: 30, 页码: 2241-2254
作者:  Wang, Tao;  Yi, Jiangyan;  Fu, Ruibo;  Tao, Jianhua;  Wen, Zhengqi
收藏  |  浏览/下载：216/0  |  提交时间：2022/09/19
Speech processing  Decoding  Predictive models  Acoustics  Transfer learning  Training  Task analysis  Coarse-to-fine decoding  mask prediction  one-shot learning  text-based speech editing  text-to-speech  
A light defect detection algorithm of power insulators from aerial images for power inspection 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 11
作者:  Yang, Lei;  Fan, Junfeng;  Song, Shouan;  Liu, Yanhong
收藏  |  浏览/下载：168/0  |  提交时间：2022/07/25
Insulator location  Defect identification  Transfer learning  Dempster-Shafer evidence theory  
A novel dynamic gesture understanding algorithm fusing convolutional neural networks with hand-crafted features 期刊论文
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2022, 卷号: 83, 页码: 11
作者:  Liu, Yanhong;  Song, Shouan;  Yang, Lei;  Bian, Guibin;  Yu, Hongnian
收藏  |  浏览/下载：172/0  |  提交时间：2022/07/25
Dynamic gesture understanding  Transfer learning  Feature fusion  Dempster-Shafer evidence theory  Support vector machine