Feiping Nie

发表

A semi-supervised learning algorithm via adaptive Laplacian graph

Xin Li, Qi Wang, Yuan Yuan, 2020, Neurocomputing.

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers

Feiping Nie, Hua Wang, Lyujian Lu, 2020, IEEE Transactions on Medical Imaging.

Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-Means

Xuelong Li, Feiping Nie, Wei Zhu, 2020, IEEE Transactions on Knowledge and Data Engineering.

Ratio sum formula for dimensionality reduction

Rong Wang, Feiping Nie, Xiaojun Yang, 2020, Multimedia Tools and Applications.

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

Xuelong Li, Zhen Wang, Feiping Nie, 2021, ArXiv.

A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition

Wanzeng Kong, Feiping Nie, Yong Peng, 2020, ICONIP.

Self-weighted collaborative representation for hyperspectral anomaly detection

Feiping Nie, Fang He, Zhong Ming, 2020, Signal Process..

Semi-supervised Clustering via Pairwise Constrained Optimal Graph

Rong Wang, Xuelong Li, Feiping Nie, 2020, IJCAI.

Author profiling on bi-lingual tweets

Rao Muhammad Adeel Nawab, Feiping Nie, Muhammad Adnan Ashraf, 2020, J. Intell. Fuzzy Syst..

Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification

Xuelong Li, Feiping Nie, Fang He, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Learning Feature Sparse Principal Subspace

Xuelong Li, Feiping Nie, Rong Wang, 2020, NeurIPS.

A study of deep learning methods for same-genre and cross-genre author profiling

Rao Muhammad Adeel Nawab, Feiping Nie, Muhammad Adnan Ashraf, 2020, J. Intell. Fuzzy Syst..

Truncated Robust Principle Component Analysis With A General Optimization Framework

Xuelong Li, Feiping Nie, Rong Wang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A linear multivariate binary decision tree classifier based on K-means splitting

Fei Wang, Feiping Nie, Fuji Ren, 2020, Pattern Recognit..

Capped $\ell _p$-Norm LDA for Outliers Robust Dimension Reduction

Rong Wang, Xuelong Li, Feiping Nie, 2020, IEEE Signal Processing Letters.

Self-weighted Robust LDA for Multiclass Classification with Edge Classes pdf

Minnan Luo, Xiaoqin Zhang, Feiping Nie, 2020, ACM Trans. Intell. Syst. Technol..

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

Xuelong Li, Feiping Nie, Zhengxin Li, 2020, ArXiv.

Double-Attentive Principle Component Analysis

Rong Wang, Han Zhang, Xuelong Li, 2020, IEEE Signal Processing Letters.

A Resource-Efficient Parallel Connected Component Labeling Algorithm and Its Hardware Implementation

Feiping Nie, Wu Gao, Chen Zhao, 2021, IEEE Transactions on Multimedia.

Local structured feature learning with dynamic maximum entropy graph

Rong Wang, Hui Yang, Feiping Nie, 2021, Pattern Recognit..

Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut

Xuelong Li, Feiping Nie, Shenfei Pei, 2020, NeurIPS.

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module

Rong Wang, Xuelong Li, Feiping Nie, 2020, IJCAI.

Multi-view clustering based on generalized low rank approximation

Rong Wang, Zhanxuan Hu, Ziheng Li, 2020, Neurocomputing.

Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image

Liu Yijun, Liang Lin, Feiping Nie, 2022, IEEE Geoscience and Remote Sensing Letters.

Large Graph Clustering With Simultaneous Spectral Embedding and Discretization

Zhen Wang, Feiping Nie, Xuelong Li, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method

Han Zhang, Feiping Nie, Xuelong Li, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Weighted bilateral K-means algorithm for fast co-clustering and fast spectral clustering

Xuelong Li, Mingliang Xu, Xiwen Yao, 2021, Pattern Recognit..