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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：198/0  |  提交时间：2019/10/11
Recurrent neural network (RNN)  uncertainty  video captioning  
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：221/0  |  提交时间：2018/11/21
Computer Vision  Feature Extraction  Low-rank Representation (Lrr)  Pattern Recognition  Ridge Regression  
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：150/0  |  提交时间：2018/10/23
Generalization Bound  Matrix Regularization  Multiple Kernel Learning (Mkl)  Support Vector Machine (Svm)  
Patch Alignment Manifold Matting 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 7, 页码: 3214-3226
作者:  Li, Xuelong;  Liu, Kang;  Dong, Yongsheng;  Tao, Dacheng;  Dong, YS (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(2558Kb)  |  收藏  |  浏览/下载：291/0  |  提交时间：2018/07/13
Dimension Reduction  Image Matting  Isomap Matting  Manifold Learning  Patch Alignment  
Efficient kNN Classification With Different Numbers of Nearest Neighbors 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1774-1785
作者:  Zhang, Shichao;  Li, Xuelong;  Zong, Ming;  Zhu, Xiaofeng;  Wang, Ruili;  Zhu, XF (reprint author), Guangxi Normal Univ, Coll Comp Sci & Informat Technol, Guangxi Key Lab MIMS, Guilin 541004, Peoples R China.
Adobe PDF(2775Kb)  |  收藏  |  浏览/下载：657/1  |  提交时间：2018/05/14
Decision Tree  k Nearest Neighbor (Knn) Classification  Sparse Coding  
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：233/1  |  提交时间：2018/04/11
Feature Combination  Image Classification  Clustering  Dominant Set  
DISC: Deep Image Saliency Computing via Progressive Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 6, 页码: 1135-1149
作者:  Chen, Tianshui;  Lin, Liang;  Liu, Lingbo;  Luo, Xiaonan;  Li, Xuelong
Adobe PDF(4845Kb)  |  收藏  |  浏览/下载：444/1  |  提交时间：2016/09/19
Convolutional Neural Network (Cnn)  Image Labeling  Representation Learning  Saliency Detection  
Image Categorization by Learning a Propagated Graphlet Path 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 3, 页码: 674-685
作者:  Zhang, Luming;  Hong, Richang;  Gao, Yue;  Ji, Rongrong;  Dai, Qionghai;  Li, Xuelong
Adobe PDF(4755Kb)  |  收藏  |  浏览/下载：224/2  |  提交时间：2016/04/20
Feature Learning  Image Categorization  Manifold Embedding  Object Shaped  Propagation  
Scene Recognition by Manifold Regularized Deep Learning Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 10, 页码: 2222-2233
作者:  Yuan, Y;  Mou, LC;  Lu, XQ
Adobe PDF(4686Kb)  |  收藏  |  浏览/下载：230/1  |  提交时间：2015/11/20
Learning a Probabilistic Topology Discovering Model for Scene Categorization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 8, 页码: 1622-1634
作者:  Zhang, Luming;  Ji, Rongrong;  Xia, Yingjie;  Zhang, Ying;  Li, Xuelong
Adobe PDF(4096Kb)  |  收藏  |  浏览/下载：206/1  |  提交时间：2015/09/09
Boosting  Discrimination  Learning  Probabilistic Model  Redundancy  Topology