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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：202/0  |  提交时间：2019/10/11
Recurrent neural network (RNN)  uncertainty  video captioning  
Matrix-Regularized Multiple Kernel Learning via (r, p) Norms 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4997-5007
作者:  Han, Yina;  Yang, Yixin;  Li, Xuelong;  Liu, Qingyu;  Ma, Yuanliang
Adobe PDF(1836Kb)  |  收藏  |  浏览/下载：155/0  |  提交时间：2018/10/23
Generalization Bound  Matrix Regularization  Multiple Kernel Learning (Mkl)  Support Vector Machine (Svm)  
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  
SCE: A Manifold Regularized Set-Covering Method for Data Partitioning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1760-1773
作者:  Li, Xuelong;  Lu, Quanmao;  Dong, Yongsheng;  Tao, Dacheng;  Dong, YS (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(3328Kb)  |  收藏  |  浏览/下载：241/1  |  提交时间：2018/05/14
Cluster Ensemble  Discriminative Constraint  Manifold Structure  Set Covering  
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  
Regularized Label Relaxation Linear Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1006-1018
作者:  Fang, Xiaozhao;  Xu, Yong;  Li, Xuelong;  Lai, Zhihui;  Wong, Wai Keung;  Fang, Bingwu;  Xu, Y (reprint author), Harbin Inst Technol, Shenzhen Grad Sch, Biocomp Res Ctr, Shenzhen 518055, Peoples R China.
Adobe PDF(3718Kb)  |  收藏  |  浏览/下载：207/1  |  提交时间：2018/04/11
Class Compactness Graph  Computer Vision  Label Relaxation  Linear Regression (Lr)  Manifold Learning  
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：171/1  |  提交时间：2018/12/11
Latent Dirichlet Allocation (Lda)  Latent Variable Model  Supervised Learning  Topic Modeling  
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：202/0  |  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：197/0  |  提交时间：2017/07/17
Disease Progression Modeling  Future Health Prediction  Multisource Analysis  Source Consistency  Temporal Regularization