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Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering

Journal of visual communication and image representation, 2022-04, Vol.84, p.103457, Article 103457

2022

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Image Set Classification Using a Distance-Based Kernel Over Affine Grassmann Manifold

IEEE transaction on neural networks and learning systems, 2021-03, Vol.32 (3), p.1082-1095

2021

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Linearized Kernel Representation Learning from Video Tensors by Exploiting Manifold Geometry for Gesture Recognition

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.3437-3441

2019

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Neighborhood preserving embedding on Grassmann manifold for image-set analysis

Pattern recognition, 2022-02, Vol.122, p.108335, Article 108335

2022

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Signal latent subspace: A new representation for environmental sound classification

Applied acoustics, 2024-11, Vol.225, p.110181, Article 110181

2024

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Learning robust affinity graph representation for multi-view clustering

Information sciences, 2021-01, Vol.544, p.155-167

2021

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Action Recognition in Realistic Sports Videos

Computer Vision in Sports, p.181-208

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Characteristic classes on Grassmannians

Turkish journal of mathematics, 2014-01, Vol.38, p.492-523

2014

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Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations

IEEE transactions on pattern analysis and machine intelligence, 2014-11, Vol.36 (11), p.2288-2302

2014

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Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

IEEE transactions on pattern analysis and machine intelligence, 2018-01, Vol.40 (1), p.48-62

2018

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Boosting Spectral Efficiency With Data-Carrying Reference Signals on the Grassmann Manifold

IEEE transactions on wireless communications, 2024-08, Vol.23 (8), p.10137-10149

2024

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Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

IEEE transactions on pattern analysis and machine intelligence, 2015-12, Vol.37 (12), p.2464-2477

2015

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Data-Driven Polynomial Ridge Approximation Using Variable Projection

SIAM journal on scientific computing, 2018-01, Vol.40 (3), p.A1566-A1589

2018

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Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold

Information sciences, 2021-02, Vol.547, p.68-87

2021

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A long short-term memory embedding for hybrid uplifted reduced order models

Physica. D, 2020-08, Vol.409 (C), p.132471, Article 132471

2020

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Spectral-Spatial Weighted Kernel Manifold Embedded Distribution Alignment for Remote Sensing Image Classification

IEEE transactions on cybernetics, 2021-06, Vol.51 (6), p.3185-3197

2021

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Adaptive graph guided concept factorization on Grassmann manifold

Information sciences, 2021-10, Vol.576, p.725-742

2021

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Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

IEEE transactions on signal processing, 2014-02, Vol.62 (4), p.905-918

2014

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Two-Tier Precoding for FDD Multi-Cell Massive MIMO Time-Varying Interference Networks

IEEE journal on selected areas in communications, 2014-06, Vol.32 (6), p.1230-1238

2014

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Classification via Sparse Representation of Steerable Wavelet Frames on Grassmann Manifold: Application to Target Recognition in SAR Image

IEEE transactions on image processing, 2017-06, Vol.26 (6), p.2892-2904

2017

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Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold

Computer methods in applied mechanics and engineering, 2020-10, Vol.370 (C), p.113269, Article 113269

2020

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Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering

Neurocomputing (Amsterdam), 2022-12, Vol.514, p.113-126

2022

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Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA

IEEE transactions on signal processing, 2021, Vol.69, p.1507-1520

2021

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Accurate 3D action recognition using learning on the Grassmann manifold

Pattern recognition, 2015-02, Vol.48 (2), p.556-567

2015

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Gaussian Process Subspace Prediction for Model Reduction

SIAM journal on scientific computing, 2022-01, Vol.44 (3), p.A1428-A1449

2022

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Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering

Image Set Classification Using a Distance-Based Kernel Over Affine Grassmann Manifold

Linearized Kernel Representation Learning from Video Tensors by Exploiting Manifold Geometry for Gesture Recognition

Neighborhood preserving embedding on Grassmann manifold for image-set analysis

Signal latent subspace: A new representation for environmental sound classification

Learning robust affinity graph representation for multi-view clustering

Action Recognition in Realistic Sports Videos

Characteristic classes on Grassmannians

Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

Boosting Spectral Efficiency With Data-Carrying Reference Signals on the Grassmann Manifold

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

Data-Driven Polynomial Ridge Approximation Using Variable Projection

Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold

A long short-term memory embedding for hybrid uplifted reduced order models

Spectral-Spatial Weighted Kernel Manifold Embedded Distribution Alignment for Remote Sensing Image Classification

Adaptive graph guided concept factorization on Grassmann manifold

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

Two-Tier Precoding for FDD Multi-Cell Massive MIMO Time-Varying Interference Networks

Classification via Sparse Representation of Steerable Wavelet Frames on Grassmann Manifold: Application to Target Recognition in SAR Image

Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold

Consistent affinity representation learning with dual low-rank constraints for multi-view subspace clustering

Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA

Accurate 3D action recognition using learning on the Grassmann manifold

Gaussian Process Subspace Prediction for Model Reduction

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