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From Deterministic to Generative: Multimodal Stochastic RNNs for Video Captioning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 10, 页码: 3047-3058
作者:  Song, Jingkuan;  Guo, Yuyu;  Gao, Lianli;  Li, Xuelong;  Hanjalic, Alan;  Shen, Heng Tao
Adobe PDF(3046Kb)  |  收藏  |  浏览/下载：201/0  |  提交时间：2019/10/11
Recurrent neural network (RNN)  uncertainty  video captioning  
Local Regression and Global Information-Embedded Dimension Reduction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4882-4893
作者:  Yao, Chao;  Han, Junwei;  Nie, Feiping;  Xiao, Fu;  Li, Xuelong
Adobe PDF(1855Kb)  |  收藏  |  浏览/下载：211/1  |  提交时间：2018/10/23
Dimension Reduction  Feature Extraction  Manifold Learning  Unsupervised Learning  
Regularized Label Relaxation Linear Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1006-1018
作者:  Fang, Xiaozhao;  Xu, Yong;  Li, Xuelong;  Lai, Zhihui;  Wong, Wai Keung;  Fang, Bingwu;  Xu, Y (reprint author), Harbin Inst Technol, Shenzhen Grad Sch, Biocomp Res Ctr, Shenzhen 518055, Peoples R China.
Adobe PDF(3718Kb)  |  收藏  |  浏览/下载：207/1  |  提交时间：2018/04/11
Class Compactness Graph  Computer Vision  Label Relaxation  Linear Regression (Lr)  Manifold Learning  
Feature Combination via Clustering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 896-907
作者:  Hou, Jian;  Gao, Huijun;  Li, Xuelong;  Hou, J (reprint author), Bohai Univ, Coll Engn, Jinzhou 121013, Peoples R China.;  Hou, J (reprint author), Univ Ca Foscari Venezia, European Ctr Living Technol, I-30123 Venice, Italy.
Adobe PDF(1581Kb)  |  收藏  |  浏览/下载：235/1  |  提交时间：2018/04/11
Feature Combination  Image Classification  Clustering  Dominant Set  
Identifying Objective and Subjective Words via Topic Modeling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 3, 页码: 718-730
作者:  Wang, Hanqi;  Wu, Fei;  Lu, Weiming;  Yang, Yi;  Li, Xi;  Li, Xuelong;  Zhuang, Yueting
Adobe PDF(4246Kb)  |  收藏  |  浏览/下载：169/1  |  提交时间：2018/12/11
Latent Dirichlet Allocation (Lda)  Latent Variable Model  Supervised Learning  Topic Modeling  
DISC: Deep Image Saliency Computing via Progressive Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 6, 页码: 1135-1149
作者:  Chen, Tianshui;  Lin, Liang;  Liu, Lingbo;  Luo, Xiaonan;  Li, Xuelong
Adobe PDF(4845Kb)  |  收藏  |  浏览/下载：446/1  |  提交时间：2016/09/19
Convolutional Neural Network (Cnn)  Image Labeling  Representation Learning  Saliency Detection  
Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 1, 页码: 32-46
作者:  Yang, Xi;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong;  Han, Bing;  Li, Jie;  Yang, X
Adobe PDF(5085Kb)  |  收藏  |  浏览/下载：436/2  |  提交时间：2016/01/22
Auroral Substorm Detection  Sequence Motion Analysis  Shape Constraint  Sparse And Low-rank  Decomposition (Sld)  
Learning to Rank for Blind Image Quality Assessment 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 10, 页码: 2275-2290
作者:  Gao, Fei;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong
Adobe PDF(4556Kb)  |  收藏  |  浏览/下载：289/3  |  提交时间：2015/11/13
Image Quality Assessment (Iqa)  Learning Preferences  Learning To Rank  Multiple Kernel Learning (Mkl)  Universal Blind Iqa (bIqa)  
Blind Image Quality Assessment via Deep Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 6, 页码: 1275-1286
作者:  Hou, Weilong;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(5671Kb)  |  收藏  |  浏览/下载：363/3  |  提交时间：2015/07/22
Deep Learning  Image Quality Assessment (Iqa)  Natural Scene Statistics (Nss)  No Reference  
Transfer Learning for Visual Categorization: A Survey 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 5, 页码: 1019-1034
作者:  Shao, Ling;  Zhu, Fan;  Li, Xuelong
Adobe PDF(3181Kb)  |  收藏  |  浏览/下载：648/0  |  提交时间：2015/07/20
Action Recognition  Image Classification  Machine Learning  Object Recognition  Survey  Transfer Learning  Visual Categorization