中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共37条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
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：169/0  |  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  
Supervised Dimensionality Reduction Methods via Recursive Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279
作者:  Liu, Yun;  Zhang, Rui;  Nie, Feiping;  Li, Xuelong;  Ding, Chris
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：177/1  |  提交时间：2020/10/23
Dimensionality reduction  Linear discriminant analysis  Eigenvalues and eigenfunctions  Learning systems  Computer science  Optical imaging  Optics  Optimal scaling (OS)  orthogonal least squares regression (OLSR)  orthogonal linear discriminant analysis (OLDA)  recursive regression  supervised dimensionality reduction  
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：221/0  |  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  
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：195/0  |  提交时间：2019/10/11
Recurrent neural network (RNN)  uncertainty  video captioning  
Robust Subspace Clustering by Cauchy Loss Function 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 7, 页码: 2067-2078
作者:  Li, Xuelong;  Lu, Quanmao;  Dong, Yongsheng;  Tao, Dacheng
Adobe PDF(3374Kb)  |  收藏  |  浏览/下载：252/0  |  提交时间：2019/07/17
Cauchy loss function (CLF)  grouping effect  noise suppression  similarity matrix  subspace clustering  
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：251/0  |  提交时间：2019/04/17
Affinity matrix  clustering  low-rank representation (LRR)  sparse representation  
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：214/1  |  提交时间：2019/03/20
Graph-based semisupervised learning (GSL)  quadratic trace ratio (QTR) problem  side information  soft label  
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：201/0  |  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：218/0  |  提交时间：2018/11/21
Computer Vision  Feature Extraction  Low-rank Representation (Lrr)  Pattern Recognition  Ridge Regression  
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：199/1  |  提交时间：2018/10/23
Dimension Reduction  Feature Extraction  Manifold Learning  Unsupervised Learning