Ganyi Tang - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 8 from 8

2024

A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clusteringLili Fan, Guifu Lu, Ganyi Tang, Yong Wang 0008. mva, 35(1):15, January 2024. [doi]

2023

Application in Student Performance Prediction Using Graph Regularization Nonnegative Matrix FactorizationJing Wang, Ganyi Tang, Yong Wang. dsa 2023: 816-820 [doi]

2022

Kernel Subspace Clustering based on Block Diagonal Representation and Sparse ConstraintsLili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang 0008. dsa 2022: 360-367 [doi]

Robust low-rank representation with adaptive graph regularization from clean dataGui-Fu Lu, Yong Wang 0008, Ganyi Tang. apin, 52(5):5830-5840, 2022. [doi]

Research on occlusion block face recognition based on feature point locationJianguo Shi, Yu Xiu, Ganyi Tang. jvca, 33(3-4), 2022. [doi]

2021

Multi-view subspace clustering with Kronecker-basis-representation-based tensor sparsity measureGui-Fu Lu, Hua Li, Yong Wang, Ganyi Tang. mva, 32(6):123, 2021. [doi]

2020

Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraintGui-Fu Lu, Qin-Ru Yu, Yong Wang 0008, Ganyi Tang. NN, 125:214-223, 2020. [doi]

2016

Spare L1-norm-based maximum margin criterionGui-Fu Lu, Ganyi Tang, Jian Zou. jvcir, 38:11-17, 2016. [doi]

Sign in or sign up to see more results.

runs on WebDSL