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VAG: A Uniform Model for Cross-Modal Visual-Audio Mutual Generation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:  Hao, Wangli;  Guan, He;  Zhang, Zhaoxiang
收藏  |  浏览/下载：205/0  |  提交时间：2022/06/10
Task analysis  Instruments  Visualization  Image reconstruction  Generators  Decoding  Generative adversarial networks  Cross modality  cross-modal generation  mutual generation  visual and audio  
Duality-Gated Mutual Condition Network for RGBT Tracking 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Lu, Andong;  Qian, Cun;  Li, Chenglong;  Tang, Jin;  Wang, Liang
收藏  |  浏览/下载：209/0  |  提交时间：2022/06/10
Target tracking  Cameras  Learning systems  Sampling methods  Noise measurement  Computational modeling  Computational efficiency  Bidirectional feature modulation  conditional learning  gated scheme  RGB-Thermal (RGBT) tracking  
Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Jia, Gengyun;  Li, Peipei;  He, Ran
Adobe PDF(10845Kb)  |  收藏  |  浏览/下载：225/31  |  提交时间：2022/06/06
Aesthetic quality assessment (AQA)  full resolution  region of image (RoM) pooling  theme  
Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4151-4165
作者:  Hu, Xuecai;  Zhang, Zhang;  Shan, Caifeng;  Wang, Zilei;  Wang, Liang;  Tan, Tieniu
收藏  |  浏览/下载：221/0  |  提交时间：2021/11/03
Degradation  Kernel  Noise level  Convolution  Spatial resolution  Imaging  Arbitrary degradation  blur kernel  deep learning  meta-learning  scale factor  super-resolution  
Self-Paced Balance Learning for Clinical Skin Disease Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 2832-2846
作者:  Yang, Jufeng;  Wu, Xiaoping;  Liang, Jie;  Sun, Xiaoxiao;  Cheng, Ming-Ming;  Rosin, Paul L.;  Wang, Liang
收藏  |  浏览/下载：215/0  |  提交时间：2020/09/07
Diseases  Skin  Complexity theory  Training  Task analysis  Image recognition  Learning systems  Class imbalance  clinical skin disease recognition  complexity level  self-paced balance learning (SPBL)  
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 449-463
作者:  Ma, Zhanyu;  Lai, Yuping;  Kleijn, W. Bastiaan;  Song, Yi-Zhe;  Wang, Liang;  Guo, Jun
收藏  |  浏览/下载：281/0  |  提交时间：2019/07/12
Bayesian estimation  computer vision  Dirichlet process (DP) mixture  inverted Dirichlet distribution  variational learning  
Multiview Clustering via Unified and View-Specific Embeddings Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5541-5553
作者:  Yin, Qiyue;  Wu, Shu;  Wang, Liang
收藏  |  浏览/下载：184/0  |  提交时间：2019/10/10
Incomplete multiview data  knowledge graph embedding  multiview learning  subspace learning  
Supervised Discrete Hashing With Relaxation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 3, 页码: 608-617
作者:  Gui, Jie;  Liu, Tongliang;  Sun, Zhenan;  Tao, Dacheng;  Tan, Tieniu
收藏  |  浏览/下载：227/0  |  提交时间：2018/03/03
Data-dependent Hashing  Least Squares Regression  Supervised Discrete Hashing (Sdh)  Supervised Discrete Hashing With Relaxation (Sdhr)  
Feature Selection Based on Structured Sparsity: A Comprehensive Study 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 7, 页码: 1490-1507
作者:  Gui, Jie;  Sun, Zhenan;  Ji, Shuiwang;  Tao, Dacheng;  Tan, Tieniu
浏览  |  Adobe PDF(3835Kb)  |  收藏  |  浏览/下载：547/268  |  提交时间：2017/09/12
Dimensionality Reduction  Feature Selection  Sparse  Structured Sparsity  
Information Theoretic Subspace Clustering 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2016, 卷号: 27, 期号: 12, 页码: 2643-2655
作者:  He, Ran;  Wang, Liang;  Sun, Zhenan;  Zhang, Yingya;  Li, Bo;  Bo LI
浏览  |  Adobe PDF(2269Kb)  |  收藏  |  浏览/下载：445/185  |  提交时间：2016/08/11
Correntropy  Group Sparsity  Low-rank Representation (Lrr)  Subspace Clustering