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Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery

Jan 06, 2021
Rong Wang, Wei Feng, Qianrong Zhang, Feiping Nie, Zhen Wang, Xuelong Li


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Sparse PCA via $l_{2,p}$-Norm Regularization for Unsupervised Feature Selection

Dec 29, 2020
Zhengxin Li, Feiping Nie, Jintang Bian, Xuelong Li


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Self-Weighted Robust LDA for Multiclass Classification with Edge Classes

Sep 24, 2020
Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie

* 17 pages, has been accepted by ACM TIST 

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NP-PROV: Neural Processes with Position-Relevant-Only Variances

Jun 15, 2020
Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie

* 10 pages, 5 figures 

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Agglomerative Neural Networks for Multi-view Clustering

May 12, 2020
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie


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Curriculum Audiovisual Learning

Jan 26, 2020
Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou


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Supervised feature selection with orthogonal regression and feature weighting

Oct 09, 2019
Xia Wu, Xueyuan Xu, Jianhong Liu, Hailing Wang, Bin Hu, Feiping Nie


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Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity

Sep 05, 2019
Jinglin Xu, Junwei Han, Mingliang Xu, Feiping Nie, Xuelong Li


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An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms

Jul 02, 2019
Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang

* 11 pages, 3 figures 

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Robust Linear Discriminant Analysis Using Ratio Minimization of L1,2-Norms

Jun 29, 2019
Feiping Nie, Hua Wang, Zheng Wang, Heng Huang


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Intrinsic Weight Learning Approach for Multi-view Clustering

Jun 21, 2019
Feiping Nie, Jing Li, Xuelong Li


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Learning Feature Sparse Principal Components

May 26, 2019
Lai Tian, Feiping Nie, Xuelong Li


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Listen to the Image

Apr 19, 2019
Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang

* Accepted by CVPR2019 

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Feature Learning Viewpoint of AdaBoost and a New Algorithm

Apr 08, 2019
Fei Wang, Zhongheng Li, Fang He, Rong Wang, Weizhong Yu, Feiping Nie


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Dense Multimodal Fusion for Hierarchically Joint Representation

Oct 08, 2018
Di Hu, Feiping Nie, Xuelong Li

* 10 pages, 4 figures 

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Deep LDA Hashing

Oct 08, 2018
Di Hu, Feiping Nie, Xuelong Li

* 10 pages, 3 figures 

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A Comprehensive Survey for Low Rank Regularization

Sep 14, 2018
Zhanxuan Hu, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li

* 16 pages,4 figures,4 tables 

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Deep Co-Clustering for Unsupervised Audiovisual Learning

Jul 10, 2018
Di Hu, Feiping Nie, Xuelong Li

* 12 pages, 4 figures 

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Regularized Singular Value Decomposition and Application to Recommender System

Apr 13, 2018
Shuai Zheng, Chris Ding, Feiping Nie


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Ranking with Adaptive Neighbors

Mar 14, 2018
Muge Li, Liangyue Li, Feiping Nie

* published at Tsinghua Science and Technology 22(6), 2017 

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Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction

Sep 09, 2017
Yanwei Pang, Bo Zhou, Feiping Nie


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Deep Binary Reconstruction for Cross-modal Hashing

Aug 24, 2017
Xuelong Li, Di Hu, Feiping Nie

* 8 pages, 5 figures, accepted by ACM Multimedia 2017 

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Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning

Aug 10, 2017
Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-lai Chung, Heng Huang

* ijcai 

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Local Shrunk Discriminant Analysis (LSDA)

May 03, 2017
Zan Gao, Guotai Zhang, Feiping Nie, Hua Zhang


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From Photo Streams to Evolving Situations

Feb 20, 2017
Mengfan Tang, Feiping Nie, Siripen Pongpaichet, Ramesh Jain


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A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification

Oct 24, 2016
Shuai Zheng, Feiping Nie, Chris Ding, Heng Huang

* IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016 

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A Closed Form Solution to Multi-View Low-Rank Regression

Oct 14, 2016
Shuai Zheng, Xiao Cai, Chris Ding, Feiping Nie, Heng Huang

* Twenty-Ninth AAAI Conference on Artificial Intelligence, AAAI, 2015 

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