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Property-Constrained Dual Learning for Video Summarization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 3989-4000
作者:  Zhao, Bin;  Li, Xuelong;  Lu, Xiaoqiang
Adobe PDF(2537Kb)  |  收藏  |  浏览/下载：182/0  |  提交时间：2020/11/02
Generators  Task analysis  Recurrent neural networks  Machine learning  Training  Semantics  Learning systems  Dual learning  property model  recurrent neural network (RNN)  video summarization  
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：212/1  |  提交时间：2018/10/23
Dimension Reduction  Feature Extraction  Manifold Learning  Unsupervised Learning  
Convolution in Convolution for Network in Network 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1587-1597
作者:  Pang, Yanwei;  Sun, Manli;  Jiang, Xiaoheng;  Li, Xuelong;  Pang, YW (reprint author), Tianjin Univ, Sch Elect & Informat Enginnering, Tianjin 300072, Peoples R China.
Adobe PDF(2493Kb)  |  收藏  |  浏览/下载：202/1  |  提交时间：2018/05/14
Convolution In Convolution (Cic)  Convolutional Neural Networks (Cnns)  Image Recognition  Network In Network (nIn)  
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  
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：290/3  |  提交时间：2015/11/13
Image Quality Assessment (Iqa)  Learning Preferences  Learning To Rank  Multiple Kernel Learning (Mkl)  Universal Blind Iqa (bIqa)  
Learning a Probabilistic Topology Discovering Model for Scene Categorization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 8, 页码: 1622-1634
作者:  Zhang, Luming;  Ji, Rongrong;  Xia, Yingjie;  Zhang, Ying;  Li, Xuelong
Adobe PDF(4096Kb)  |  收藏  |  浏览/下载：208/1  |  提交时间：2015/09/09
Boosting  Discrimination  Learning  Probabilistic Model  Redundancy  Topology  
Local Coordinate Concept Factorization for Image Representation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 6, 页码: 1071-1082
作者:  Liu, Haifeng;  Yang, Zheng;  Yang, Ji;  Wu, Zhaohui;  Li, Xuelong
Adobe PDF(2849Kb)  |  收藏  |  浏览/下载：166/2  |  提交时间：2015/03/18
Data Representation  Dimensionality Reduction  Image Clustering  Matrix Factorization  
A Unified Learning Framework for Single Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 4, 页码: 780-792
作者:  Yu, Jifei;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong;  Zhang, Kaibing
Adobe PDF(3831Kb)  |  收藏  |  浏览/下载：275/1  |  提交时间：2015/03/18
Example Learning-based  Image Super-resolution (Sr)  Reconstruction-based  Self-similarity  
Single Image Super-Resolution With Multiscale Similarity Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 卷号: 24, 期号: 10, 页码: 1648-1659
作者:  Zhang, Kaibing;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(1949Kb)  |  收藏  |  浏览/下载：210/1  |  提交时间：2015/06/09
Image Super-resolution (Sr)  Multiscale Self-similarities  Neighbor Embedding (Ne)  Nonlocal Means (Nlm)