OPT OpenIR

浏览/检索结果: 共6条,第1-6条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3032-3046
作者:  Lu, Xiaoqiang;  Chen, Yaxiong;  Li, Xuelong
Adobe PDF(3109Kb)  |  收藏  |  浏览/下载:259/0  |  提交时间:2020/09/04
Correlation  Hash functions  Semantics  Training  Approximation algorithms  Convolution  Image retrieval  Category-level semantics  deep hashing  image retrieval  multi-scale contextual information  
Semisupervised Learning With Parameter-Free Similarity of Label and Side Information 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 405–414
作者:  Zhang, Rui;  Nie, Feiping;  Li, Xuelong
Adobe PDF(1215Kb)  |  收藏  |  浏览/下载:220/1  |  提交时间:2019/03/20
Graph-based semisupervised learning (GSL)  quadratic trace ratio (QTR) problem  side information  soft label  
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:214/1  |  提交时间:2018/10/23
Dimension Reduction  Feature Extraction  Manifold Learning  Unsupervised Learning  
Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 2, 页码: 392-404
作者:  Liu, Nian;  Han, Junwei;  Liu, Tianming;  Li, Xuelong
Adobe PDF(2296Kb)  |  收藏  |  浏览/下载:186/1  |  提交时间:2018/12/11
Contrast  Convolutional Neural Network (Cnn)  Eye Fixation Prediction  Rgb-d  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)  
Feature Learning for Image Classification via Multiobjective Genetic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 7, 页码: 1359-1371
作者:  Shao, Ling;  Liu, Li;  Li, Xuelong
Adobe PDF(4134Kb)  |  收藏  |  浏览/下载:220/0  |  提交时间:2015/03/18
Feature Extraction  Genetic Programming (Gp)  Image Classification  Multiobjective Optimization