中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共10条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1133-1149
作者:  Fang, Xiaozhao;  Han, Na;  Wong, Wai Keung;  Teng, Shaohua;  Wu, Jigang;  Xie, Shengli;  Li, Xuelong
Adobe PDF(4698Kb)  |  收藏  |  浏览/下载：264/0  |  提交时间：2019/04/17
Affinity matrix  clustering  low-rank representation (LRR)  sparse representation  
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：209/0  |  提交时间：2018/12/10
Convolutional Neural Network (Cnn)  Object Detection  Weakly Supervised  
Approximate Low-Rank Projection Learning for Feature Extraction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5228-5241
作者:  Fang, Xiaozhao;  Han, Na;  Wu, Jigang;  Xu, Yong;  Yang, Jian;  Wong, Wai Keung;  Li, Xuelong
Adobe PDF(2693Kb)  |  收藏  |  浏览/下载：226/0  |  提交时间：2018/11/21
Computer Vision  Feature Extraction  Low-rank Representation (Lrr)  Pattern Recognition  Ridge Regression  
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：244/1  |  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：173/1  |  提交时间：2018/12/11
Latent Dirichlet Allocation (Lda)  Latent Variable Model  Supervised Learning  Topic Modeling  
Regularized Class-Specific Subspace Classifier 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 11, 页码: 2738-2747
作者:  Zhang, Rui;  Nie, Feiping;  Li, Xuelong;  Nie, Feiping (feipingnie@gmail.com)
Adobe PDF(1761Kb)  |  收藏  |  浏览/下载：391/1  |  提交时间：2016/10/09
Class-specific Subspace  Quadratic Ratio Problem  Reconstruction Problem  Regularization Term  Translation  
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：204/0  |  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：297/3  |  提交时间：2015/11/13
Image Quality Assessment (Iqa)  Learning Preferences  Learning To Rank  Multiple Kernel Learning (Mkl)  Universal Blind Iqa (bIqa)  
Targeting Accurate Object Extraction From an Image: A Comprehensive Study of Natural Image Matting 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 2, 页码: 185-207
作者:  Zhu, Qingsong;  Shao, Ling;  Li, Xuelong;  Wang, Lei
Adobe PDF(3819Kb)  |  收藏  |  浏览/下载：258/1  |  提交时间：2015/07/14
Alpha Matte  Evaluation  Image Composition  Image Matting  Image Segmentation  Survey  
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：282/1  |  提交时间：2015/03/18
Example Learning-based  Image Super-resolution (Sr)  Reconstruction-based  Self-similarity