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Weakly Supervised Object Detection via Object-Specific Pixel Gradient 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 12, 页码: 5960-5970
作者:  Shen, Yunhang;  Ji, Rongrong;  Wang, Changhu;  Li, Xi;  Li, Xuelong
Adobe PDF(4529Kb)  |  收藏  |  浏览/下载：207/0  |  提交时间：2018/12/10
Convolutional Neural Network (Cnn)  Object Detection  Weakly Supervised  
Matrix-Regularized Multiple Kernel Learning via (r, p) Norms 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4997-5007
作者:  Han, Yina;  Yang, Yixin;  Li, Xuelong;  Liu, Qingyu;  Ma, Yuanliang
Adobe PDF(1836Kb)  |  收藏  |  浏览/下载：154/0  |  提交时间：2018/10/23
Generalization Bound  Matrix Regularization  Multiple Kernel Learning (Mkl)  Support Vector Machine (Svm)  
Cascaded Subpatch Networks for Effective CNNs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 7, 页码: 2684-2694
作者:  Jiang, Xiaoheng;  Pang, Yanwei;  Sun, Manli;  Li, Xuelong;  Pang, YW (reprint author), Tianjin Univ, Sch Elect & Informat Enginnering, Tianjin 300072, Peoples R China.
Adobe PDF(2610Kb)  |  收藏  |  浏览/下载：266/1  |  提交时间：2018/07/13
Cascaded Subpatch Networks (Csnet)  Convolutional Neural Network (Cnn)  Feature Extraction  Subpatch Filter  
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)  
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  
A Biologically Inspired Appearance Model for Robust Visual Tracking 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 10, 页码: 2357-2370
作者:  Zhang, Shengping;  Lan, Xiangyuan;  Yao, Hongxun;  Zhou, Huiyu;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(2113Kb)  |  收藏  |  浏览/下载：201/0  |  提交时间：2017/12/25
Appearance Modeling  Biologically Inspiration  Sparse Coding  Visual Tracking  
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 a Tracking and Estimation Integrated Graphical Model for Human Pose Tracking 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 12, 页码: 3176-3186
作者:  Zhao, Lin;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(3966Kb)  |  收藏  |  浏览/下载：194/2  |  提交时间：2015/12/25
Pictorial Structure (Ps)  Pose Estimation  Pose Tracking  Visual Tracking  
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：650/0  |  提交时间：2015/07/20
Action Recognition  Image Classification  Machine Learning  Object Recognition  Survey  Transfer Learning  Visual Categorization