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SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition 期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 2415-2429
作者:  Lian, Zheng;  Liu, Bin;  Tao, Jianhua
Adobe PDF(2103Kb)  |  收藏  |  浏览/下载：129/5  |  提交时间：2023/11/15
Emotion recognition  Feature extraction  Training  Acoustics  Semisupervised learning  Benchmark testing  Hidden Markov models  Semi-supervised multi-modal interaction network (SMIN)  conversational emotion recognition  semi-supervised learning  intra-modal interaction  cross-modal interaction  
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 229, 页码: 11
作者:  Liu, Bo;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(1224Kb)  |  收藏  |  浏览/下载：361/75  |  提交时间：2021/11/04
Zero-shot learning  Visual-semantic embedding  Out-of-distribution detection  
An Iterative Co-Training Transductive Framework for Zero Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6943-6956
作者:  Liu, Bo;  Hu, Lihua;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(2452Kb)  |  收藏  |  浏览/下载：276/61  |  提交时间：2021/11/02
Visualization  Semantics  Training  Feature extraction  Testing  Detectors  Predictive models  Zero-shot learning  transductive learning co-training  
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载：240/56  |  提交时间：2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning  
Deep sparse representation-based mid-level visual elements discovery in fine-grained classification 期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 期号: 18, 页码: 8711-8722
作者:  Lv, Le;  Zhao, Dongbin;  Shao, Kun
收藏  |  浏览/下载：227/0  |  提交时间：2019/12/16
Mid-level visual elements discovery  Fine-grained classification  Winner-take-all autoencoder  Bipartite graph spectral partitioning