default search action
Gui-Fu Lu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
- [j63]Yangfan Du
, Gui-Fu Lu:
Joint local smoothness and low-rank tensor representation for robust multi-view clustering. Pattern Recognit. 157: 110944 (2025) - 2024
- [j62]Yaozu Kan
Multi-view clustering using a flexible and optimal multi-graph fusion method. Eng. Appl. Artif. Intell. 128: 107452 (2024) - [j61]Tong Wu
Coupled double self-expressive subspace clustering with low-rank tensor learning. Expert Syst. Appl. 255: 124619 (2024) - [j60]Xiaoxing Guo
Tensor-based global block-diagonal structure radiation for incomplete multiview clustering. Expert Syst. Appl. 255: 124788 (2024) - [j59]Bing Cai
Aligned multi-view clustering for unmapped data via weighted tensor nuclear norm and adaptive graph learning. Neurocomputing 597: 128016 (2024) - [j58]Bing Cai
Complete multi-view subspace clustering via auto-weighted combination of visible and latent views. Inf. Sci. 665: 120381 (2024) - [j57]Xiaoxing Guo
Comprehensive consensus representation learning for incomplete multiview subspace clustering. Inf. Sci. 678: 120935 (2024) - [j56]Tong Wu, Gui-Fu Lu:
Coupled double consensus multi-graph fusion for multi-view clustering. Inf. Sci. 680: 121186 (2024) - [j55]Yaozu Kan
Tensor low-rank representation combined with consistency and diversity exploration. Int. J. Mach. Learn. Cybern. 15(11): 5173-5184 (2024) - [j54]Lili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang:
A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clustering. Mach. Vis. Appl. 35(1): 15 (2024) - [j53]Yaozu Kan
An adaptive kernel dictionary-based low-rank representation method for subspace clustering. Neural Networks 178: 106434 (2024) - [j52]Bing Cai
Auto-weighted multi-view clustering with the use of an augmented view. Signal Process. 215: 109286 (2024) - [j51]Yangfan Du
Robust Least Squares Regression for Subspace Clustering: A Multi-View Clustering Perspective. IEEE Trans. Image Process. 33: 216-227 (2024) - [j50]Bing Cai
Tensorized Scaled Simplex Representation for Multi-View Clustering. IEEE Trans. Multim. 26: 6621-6631 (2024) - 2023
- [j49]Shouhang Wang, Yong Wang
Mixed structure low-rank representation for multi-view subspace clustering. Appl. Intell. 53(15): 18470-18487 (2023) - [j48]Guangyan Ji
Scalable incomplete multi-view clustering via tensor Schatten p-norm and tensorized bipartite graph. Eng. Appl. Artif. Intell. 123(Part B): 106379 (2023) - [j47]Guangyan Ji
Unbalanced incomplete multi-view clustering based on low-rank tensor graph learning. Expert Syst. Appl. 225: 120055 (2023) - [j46]Liang Yao
Multi-view clustering based on a multimetric matrix fusion method. Expert Syst. Appl. 228: 120272 (2023) - [j45]Yangfan Du
Robust and optimal neighborhood graph learning for multi-view clustering. Inf. Sci. 631: 429-448 (2023) - [j44]Yangfan Du
Robust subspace clustering via multi-affinity matrices fusion. Knowl. Based Syst. 278: 110874 (2023) - [j43]Guangyan Ji
Consensus latent incomplete multi-view clustering with low-rank tensor constraint. Int. J. Mach. Learn. Cybern. 14(11): 3813-3825 (2023) - [j42]Rong Tang
Multi-view subspace similarity learning based on t-SVD. Multim. Tools Appl. 82(29): 45605-45620 (2023) - [j41]Rong Tang
Consensus similarity learning based on tensor nuclear norm. Mach. Vis. Appl. 34(1): 5 (2023) - [j40]Guangyan Ji, Gui-Fu Lu:
A late fusion scheme for multi-graph regularized NMF. Mach. Vis. Appl. 34(5): 96 (2023) - [j39]Liang Yao
Multi-view clustering indicator learning with scaled similarity. Pattern Anal. Appl. 26(3): 1395-1406 (2023) - [j38]Bing Cai
High-order manifold regularized multi-view subspace clustering with robust affinity matrices and weighted TNN. Pattern Recognit. 134: 109067 (2023) - [j37]Jinbiao Zhao, Gui-Fu Lu:
Clean affinity matrix learning with rank equality constraint for multi-view subspace clustering. Pattern Recognit. 134: 109118 (2023) - [c5]Yaozu Kan, Gui-Fu Lu, Yangfan Du, Guangyan Ji:
Efficient Tensor Low-Rank Representation with a Closed Form Solution. ACPR (2) 2023: 326-339 - 2022
- [j36]Gui-Fu Lu
Robust low-rank representation with adaptive graph regularization from clean data. Appl. Intell. 52(5): 5830-5840 (2022) - [j35]Gui-Fu Lu
Latent multi-view self-representations for clustering via the tensor nuclear norm. Appl. Intell. 52(6): 6539-6551 (2022) - [j34]Jinbiao Zhao, Gui-Fu Lu:
Clean and robust affinity matrix learning for multi-view clustering. Appl. Intell. 52(14): 15899-15915 (2022) - [j33]Bing Cai
Tensor subspace clustering using consensus tensor low-rank representation. Inf. Sci. 609: 46-59 (2022) - [j32]Guangyan Ji
One-step incomplete multiview clustering with low-rank tensor graph learning. Inf. Sci. 615: 209-225 (2022) - [j31]Liang Yao
Double structure scaled simplex representation for multi-view subspace clustering. Neural Networks 151: 168-177 (2022) - [c4]Lili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang:
Kernel Subspace Clustering based on Block Diagonal Representation and Sparse Constraints. DSA 2022: 360-367 - [c3]Rong Tang, Gui-Fu Lu:
Constrained Multilinear Multi-view Subspace Representation Learning for Clustering based on Tensor Nuclear Norm. DSA 2022: 685-691 - 2021
- [j30]Gui-Fu Lu
Multi-view subspace clustering with Kronecker-basis-representation-based tensor sparsity measure. Mach. Vis. Appl. 32(6): 123 (2021) - [j29]Shuo Chen
δ-Norm-Based Robust Regression With Applications to Image Analysis. IEEE Trans. Cybern. 51(6): 3371-3383 (2021) - [c2]Caifeng Yang, Tao Liu, Gui-Fu Lu, Zhenxin Wang, Zhi Deng:
Improved Non-negative Matrix Factorization Algorithm for Sparse Graph Regularization. ICPCSEE (1) 2021: 221-232 - [c1]Lili Fan, Gui-Fu Lu, Yong Wang, Tao Liu:
Block Diagonal Sparse Subspace Clustering. WCSP 2021: 1-6 - 2020
- [j28]Yong Wang
Using Algebra Graph Representation to Detect Pairwise-Constraint Software Faults. IEEE Access 8: 184550-184559 (2020) - [j27]Gui-Fu Lu
Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint. Neural Networks 125: 214-223 (2020)
2010 – 2019
- 2019
- [j26]Wei-Xin Yao, Dan Yang, Gui-Fu Lu, Jun Wang:
A Fast Rough Mode Decision Algorithm for HEVC. J. Inf. Process. Syst. 15(3): 492-499 (2019) - 2018
- [j25]Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang:
Sparse L1-norm-based linear discriminant analysis. Multim. Tools Appl. 77(13): 16155-16175 (2018) - [j24]Gui-Fu Lu, Yong Wang
Matrix exponential based discriminant locality preserving projections for feature extraction. Neural Networks 97: 127-136 (2018) - 2017
- [j23]Gui-Fu Lu, Jian Zou, Yong Wang
L1-norm based null space discriminant analysis. Multim. Tools Appl. 76(14): 15801-15816 (2017) - [j22]Lei Luo, Jian Yang
Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2168-2182 (2017) - 2016
- [j21]Gui-Fu Lu, Ganyi Tang, Jian Zou:
Spare L1-norm-based maximum margin criterion. J. Vis. Commun. Image Represent. 38: 11-17 (2016) - [j20]Jian Zou, Gui-Fu Lu, Yue Zhang, Chuancai Liu:
Generalizing intersection kernel support vector machines for color texture based recognition. J. Vis. Commun. Image Represent. 41: 1-14 (2016) - [j19]Gui-Fu Lu, Jian Zou, Yong Wang
A New and Fast Implementation of Orthogonal LDA Algorithm and Its Incremental Extension. Neural Process. Lett. 43(3): 687-707 (2016) - [j18]Gui-Fu Lu, Yong Wang
Graph Maximum Margin Criterion for Face Recognition. Neural Process. Lett. 44(2): 387-405 (2016) - [j17]Gui-Fu Lu, Jian Zou, Yong Wang
L1-norm and maximum margin criterion based discriminant locality preserving projections via trace Lasso. Pattern Recognit. 55: 207-214 (2016) - [j16]Gui-Fu Lu, Jian Zou, Yong Wang
L1-norm-based principal component analysis with adaptive regularization. Pattern Recognit. 60: 901-907 (2016) - [j15]Gui-Fu Lu, Yong Wang
Low-Rank Matrix Factorization With Adaptive Graph Regularizer. IEEE Trans. Image Process. 25(5): 2196-2205 (2016) - 2015
- [j14]Gui-Fu Lu, Jian Zou, Yong Wang
Incremental learning from chunk data for IDR/QR. Image Vis. Comput. 36: 1-8 (2015) - [j13]Gui-Fu Lu, Jian Zou:
Incremental maximum margin criterion based on eigenvalue decomposition updating algorithm. Mach. Vis. Appl. 26(6): 807-817 (2015) - 2013
- [j12]Gui-Fu Lu, Yong Wang
Improved complete neighbourhood preserving embedding for face recognition. IET Comput. Vis. 7(1): 71-79 (2013) - [j11]Gui-Fu Lu, Wenming Zheng:
Complexity-reduced implementations of complete and null-space-based linear discriminant analysis. Neural Networks 46: 165-171 (2013) - [j10]Jian Zou, Chuancai Liu, Yue Zhang, Gui-Fu Lu:
Object recognition using Gabor co-occurrence similarity. Pattern Recognit. 46(1): 434-448 (2013) - 2012
- [j9]Gui-Fu Lu, Jian Zou, Yong Wang
Incremental learning of discriminant common vectors for feature extraction. Appl. Math. Comput. 218(22): 11269-11278 (2012) - [j8]Gui-Fu Lu, Yong Wang
Feature extraction using a fast null space based linear discriminant analysis algorithm. Inf. Sci. 193: 72-80 (2012) - [j7]Gui-Fu Lu, Jian Zou, Yong Wang
Incremental learning of complete linear discriminant analysis for face recognition. Knowl. Based Syst. 31: 19-27 (2012) - [j6]Gui-Fu Lu, Zhong Jin, Jian Zou:
Face recognition using discriminant sparsity neighborhood preserving embedding. Knowl. Based Syst. 31: 119-127 (2012) - [j5]Gui-Fu Lu, Jian Zou:
Feature Extraction Using a Complete Kernel Extension of Supervised Graph Embedding. Neural Process. Lett. 35(2): 159-175 (2012) - [j4]Gui-Fu Lu, Jian Zou, Yong Wang
Incremental complete LDA for face recognition. Pattern Recognit. 45(7): 2510-2521 (2012) - 2011
- [j3]Jian Zou, Chuancai Liu, Yue Zhang, Gui-Fu Lu:
Face recognition using multi-scale differential invariants in statistical manifold framework. Int. J. Data Min. Model. Manag. 3(4): 361-374 (2011) - [j2]Gui-Fu Lu, Zhong Lin, Zhong Jin:
Orthogonal Complete Discriminant Locality Preserving Projections for Face Recognition. Neural Process. Lett. 33(3): 235-250 (2011) - 2010
- [j1]Gui-Fu Lu, Zhong Lin, Zhong Jin:
Face recognition using discriminant locality preserving projections based on maximum margin criterion. Pattern Recognit. 43(10): 3572-3579 (2010)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: