中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共12条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
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  
Self-Weighted Supervised Discriminative Feature Selection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 8, 页码: 3913-3918
作者:  Zhang, Rui;  Nie, Feiping;  Li, Xuelong
Adobe PDF(1093Kb)  |  收藏  |  浏览/下载：239/1  |  提交时间：2018/09/11
Row-sparse Projection  Self-weighted Orthogonal Linear Discriminant Analysis (Solda)  Sparsity-inducing Regularization  Supervised Feature Selection  
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：267/1  |  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：203/1  |  提交时间：2018/05/14
Convolution In Convolution (Cic)  Convolutional Neural Networks (Cnns)  Image Recognition  Network In Network (nIn)  
Person Reidentification Based on Elastic Projections 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1314-1327
作者:  Li, Xuelong;  Liu, Lina;  Lu, Xiaoqiang;  Li, XL (reprint author), Chinese Acad Sci, Inst Opt & Precis Mech, Ctr OPTical IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(2236Kb)  |  收藏  |  浏览/下载：256/2  |  提交时间：2018/04/11
Machine Learning  Person Reidentification  Representative And Discriminative  Video Surveillance  
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：237/1  |  提交时间：2018/04/11
Feature Combination  Image Classification  Clustering  Dominant Set  
Person Re-identification by Multi-hypergraph Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 11, 页码: 2763-2774
作者:  An, Le;  Chen, Xiaojing;  Yang, Songfan;  Li, Xuelong;  Chen, Xiaojing (xchen010@ucr.edu)
Adobe PDF(3831Kb)  |  收藏  |  浏览/下载：298/2  |  提交时间：2016/10/10
Feature Fusion  Graph Learning  Hypergraph  Person Re-identification  Surveillance  
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  
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)  
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：654/0  |  提交时间：2015/07/20
Action Recognition  Image Classification  Machine Learning  Object Recognition  Survey  Transfer Learning  Visual Categorization