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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：197/1  |  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：286/0  |  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：207/0  |  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：267/0  |  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：265/0  |  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：211/0  |  提交时间：2018/12/10
Convolutional Neural Network (Cnn)  Object Detection  Weakly Supervised  
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：246/1  |  提交时间：2018/04/11
Feature Combination  Image Classification  Clustering  Dominant Set  
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：205/0  |  提交时间：2017/12/25
Appearance Modeling  Biologically Inspiration  Sparse Coding  Visual Tracking  
Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 7, 页码: 1508-1519
作者:  Nie, Liqiang;  Zhang, Luming;  Meng, Lei;  Song, Xuemeng;  Chang, Xiaojun;  Li, Xuelong;  Nie, LQ (reprint author), Shandong Univ, Sch Comp Sci & Technol, Jinan 250100, Peoples R China.
Adobe PDF(1960Kb)  |  收藏  |  浏览/下载：200/0  |  提交时间：2017/07/17
Disease Progression Modeling  Future Health Prediction  Multisource Analysis  Source Consistency  Temporal Regularization  
Coarse-to-Fine Learning for Single-Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 5, 页码: 1109-1122
作者:  Zhang, Kaibing;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong;  Li, Jie;  Zhang, KB (reprint author), Hubei Engn Univ, Sch Comp & Informat Sci, Xiaogan 432000, Hubei, Peoples R China.
Adobe PDF(3110Kb)  |  收藏  |  浏览/下载：347/2  |  提交时间：2017/06/14
Correlative Neighbor Regression (Cnr)  Nonlocal Means  Regularization Term  Self-similarity  Single-image Super-resolution (Sr)