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Learning Robust and Discriminative Subspace With Low-Rank Constraints

IEEE transaction on neural networks and learning systems, 2016-11, Vol.27 (11), p.2160-2173

2016

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Hyperspectral Band Selection via Rank Minimization

IEEE geoscience and remote sensing letters, 2017-12, Vol.14 (12), p.2320-2324

2017

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DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery

ACM transactions on multimedia computing communications and applications, 2021-04, Vol.17 (1s), p.1-24

2021

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Finding Tinnitus Patients with Similar Evolution of Their Ecological Momentary Assessments

2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 2018, p.112-117

2018

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Unsupervised Discovery of Subspace Trends

IEEE transactions on pattern analysis and machine intelligence, 2015-10, Vol.37 (10), p.2131-2145

2015

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Contrastive subspace distribution learning for novel category discovery in high-dimensional visual data

Knowledge-based systems, 2024-11, Vol.303, p.112329, Article 112329

2024

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Binary multi-view sparse subspace clustering

Neural computing & applications, 2023-10, Vol.35 (29), p.21751-21770

2023

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Symmetric Multi-View Subspace Clustering With Automatic Neighbor Discovery

IEEE transactions on circuits and systems for video technology, 2024-09, Vol.34 (9), p.8766-8778

2024

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Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning

Data mining and knowledge discovery, 2022-05, Vol.36 (3), p.958-986

2022

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Discovering outlying aspects in large datasets

Data mining and knowledge discovery, 2016-11, Vol.30 (6), p.1520-1555

2016

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Deep multi-view subspace clustering via structure-preserved multi-scale features fusion

Neural computing & applications, 2023-02, Vol.35 (4), p.3203-3219

2023

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Multi-view subspace clustering with adaptive locally consistent graph regularization

Neural computing & applications, 2021-11, Vol.33 (22), p.15397-15412

2021

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Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey

ACM computing surveys, 2019-09, Vol.51 (5), p.1-43, Article 95

2019

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Attributed network embedding via subspace discovery

Data mining and knowledge discovery, 2019-11, Vol.33 (6), p.1953-1980

2019

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ROBUST SUBSPACE CLUSTERING

The Annals of statistics, 2014-04, Vol.42 (2), p.669-699

2014

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Sparse Subspace Clustering via Two-Step Reweighted L1-Minimization: Algorithm and Provable Neighbor Recovery Rates

IEEE transactions on information theory, 2021-02, Vol.67 (2), p.1216-1263

2021

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Subspace multi-clustering: a review

Knowledge and information systems, 2018-08, Vol.56 (2), p.257-284

2018

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Explaining anomalies in groups with characterizing subspace rules

Data mining and knowledge discovery, 2018-09, Vol.32 (5), p.1444-1480

2018

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A survey on enhanced subspace clustering

Data mining and knowledge discovery, 2013-03, Vol.26 (2), p.332-397

2013

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Unknown Sample Selection and Discriminative Classifier Learning for Generalized Category Discovery

Journal of visual communication and image representation, 2024-06, Vol.102, p.104203, Article 104203

2024

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Subspace histograms for outlier detection in linear time

Knowledge and information systems, 2018-09, Vol.56 (3), p.691-715

2018

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Closing the learning-planning loop with predictive state representations

The International journal of robotics research, 2011-06, Vol.30 (7), p.954-966

2011

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Visual analytics for concept exploration in subspaces of patient groups: Making sense of complex datasets with the Doctor-in-the-loop

Brain informatics, 2016-12, Vol.3 (4), p.233-247

2016

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Robust subspace learning-based low-rank representation for manifold clustering

Neural computing & applications, 2019-11, Vol.31 (11), p.7921-7933

2019

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Subspace clustering of high-dimensional data: a predictive approach

Data mining and knowledge discovery, 2014-05, Vol.28 (3), p.736-772

2014

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Learning Robust and Discriminative Subspace With Low-Rank Constraints

Hyperspectral Band Selection via Rank Minimization

DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery

Finding Tinnitus Patients with Similar Evolution of Their Ecological Momentary Assessments

Unsupervised Discovery of Subspace Trends

Contrastive subspace distribution learning for novel category discovery in high-dimensional visual data

Binary multi-view sparse subspace clustering

Symmetric Multi-View Subspace Clustering With Automatic Neighbor Discovery

Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning

Discovering outlying aspects in large datasets

Deep multi-view subspace clustering via structure-preserved multi-scale features fusion

Multi-view subspace clustering with adaptive locally consistent graph regularization

Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey

Attributed network embedding via subspace discovery

ROBUST SUBSPACE CLUSTERING

Sparse Subspace Clustering via Two-Step Reweighted L1-Minimization: Algorithm and Provable Neighbor Recovery Rates

Subspace multi-clustering: a review

Explaining anomalies in groups with characterizing subspace rules

A survey on enhanced subspace clustering

Unknown Sample Selection and Discriminative Classifier Learning for Generalized Category Discovery

Subspace histograms for outlier detection in linear time

Closing the learning-planning loop with predictive state representations

Visual analytics for concept exploration in subspaces of patient groups: Making sense of complex datasets with the Doctor-in-the-loop

Robust subspace learning-based low-rank representation for manifold clustering

Subspace clustering of high-dimensional data: a predictive approach

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