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Coupled low rank representation and subspace clustering

Applied intelligence (Dordrecht, Netherlands), 2022-01, Vol.52 (1), p.530-546

2022

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Asthma prediction via affinity graph enhanced classifier: a machine learning approach based on routine blood biomarkers

Journal of translational medicine, 2024-01, Vol.22 (1), p.100-12, Article 100

2024

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Edge-Preserved Low-Rank Representation via Multi-Level Knowledge Incorporation for Remote Sensing Image Denoising

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (9), p.2318

2023

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Multi‐view intrinsic low‐rank representation for robust face recognition and clustering

IET image processing, 2021-12, Vol.15 (14), p.3573-3584

2021

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Robust Spectral Clustering via Low-Rank Sample Representation

Applied Computational Intelligence and Soft Computing, 2022-04, Vol.2022, p.1-11

2022

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Recursive Sample Scaling Low-Rank Representation

Journal of mathematics (Hidawi), 2021-12, Vol.2021, p.1-14

2021

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Robust Label and Feature Space Co-Learning for Multi-Label Classification

IEEE transactions on knowledge and data engineering, 2023-11, Vol.35 (11), p.1-14

2023

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Multiview subspace clustering via low‐rank correlation analysis

IET computer vision, 2022-11

2022

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Multiview Common Subspace Clustering via Coupled Low Rank Representation

ACM transactions on intelligent systems and technology, 2021-08, Vol.12 (4), p.1-25

2021

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Image edge preservation via low-rank residuals for robust subspace learning

Multimedia tools and applications, 2024-05, Vol.83 (18), p.53715-53741

2024

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Robust multiview spectral clustering via cooperative manifold and low rank representation induced

Multimedia tools and applications, 2023-07, Vol.82 (16), p.24445-24464

2023

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Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning

ACM transactions on intelligent systems and technology, 2023-04, Vol.14 (3), p.1-24, Article 47

2023

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Spectral type subspace clustering methods: multi-perspective analysis

Multimedia tools and applications, 2024-05, Vol.83 (16), p.47455-47475

2024

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Robust low-rank representation via residual projection for image classification

Knowledge-based systems, 2022-04, Vol.241, p.108230, Article 108230

2022

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Deep Robust Low Rank Correlation with Unifying Clustering Structure for Cross Domain Adaptation

IEEE transactions on multimedia, 2023-01, Vol.25, p.1-11

2023

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IEEE_Xplore

Diversified deep hierarchical kernel ensemble regression

Multimedia tools and applications, 2024-06

2024

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Supervised Shallow Multi-task Learning: Analysis of Methods

Neural processing letters, 2022-06, Vol.54 (3), p.2491-2508

2022

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Kernel ensemble support vector machine with integrated loss in shared parameters space

Multimedia tools and applications, 2023-05, Vol.82 (12), p.18077-18096

2023

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Low Rank Correlation Representation and Clustering

Scientific programming, 2021-02, Vol.2021, p.1-12

2021

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Hierarchical Model for SAR Image Despeckling VIA Low-Rank Representation and Prior Knowledge Regulation

2023 SAR in Big Data Era (BIGSARDATA), 2023, p.1-4

2023

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Low-Rank Representation Based Model for Sar Image Denoising and Edge-Preserving

2023 SAR in Big Data Era (BIGSARDATA), 2023, p.1-4

2023

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Coupled low rank representation and subspace clustering

Asthma prediction via affinity graph enhanced classifier: a machine learning approach based on routine blood biomarkers

Edge-Preserved Low-Rank Representation via Multi-Level Knowledge Incorporation for Remote Sensing Image Denoising

Multi‐view intrinsic low‐rank representation for robust face recognition and clustering

Robust Spectral Clustering via Low-Rank Sample Representation

Recursive Sample Scaling Low-Rank Representation

Robust Label and Feature Space Co-Learning for Multi-Label Classification

Multiview subspace clustering via low‐rank correlation analysis

Multiview Common Subspace Clustering via Coupled Low Rank Representation

Image edge preservation via low-rank residuals for robust subspace learning

Robust multiview spectral clustering via cooperative manifold and low rank representation induced

Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning

Spectral type subspace clustering methods: multi-perspective analysis

Robust low-rank representation via residual projection for image classification

Deep Robust Low Rank Correlation with Unifying Clustering Structure for Cross Domain Adaptation

Diversified deep hierarchical kernel ensemble regression

Supervised Shallow Multi-task Learning: Analysis of Methods

Kernel ensemble support vector machine with integrated loss in shared parameters space

Low Rank Correlation Representation and Clustering

Hierarchical Model for SAR Image Despeckling VIA Low-Rank Representation and Prior Knowledge Regulation

Low-Rank Representation Based Model for Sar Image Denoising and Edge-Preserving

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