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Kernel Learning for Dynamic Texture Synthesis

IEEE transactions on image processing, 2016-10, Vol.25 (10), p.4782-4795

2016

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Causality detection with matrix-based transfer entropy

Information sciences, 2022-10, Vol.613, p.357-375

2022

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CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis

Neural networks, 2024-04, Vol.172, p.106147-106147, Article 106147

2024

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Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.435-442

2021

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Understanding autoencoders with information theoretic concepts

Neural networks, 2019-09, Vol.117, p.104-123

2019

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Optimal Randomized Approximations for Matrix-based Rényi's Entropy

IEEE transactions on information theory, 2023-07, Vol.69 (7), p.1-1

2023

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Gated information bottleneck for generalization in sequential environments

Knowledge and information systems, 2023-02, Vol.65 (2), p.683-705

2023

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Coping with change: Learning invariant and minimum sufficient representations for fine-grained visual categorization

Computer vision and image understanding, 2023-12, Vol.237, p.103837, Article 103837

2023

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R2-trans: Fine-grained visual categorization with redundancy reduction

Image and vision computing, 2024-03, Vol.143, p.104923, Article 104923

2024

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Modularizing Deep Learning via Pairwise Learning With Kernels

IEEE transaction on neural networks and learning systems, 2022-04, Vol.33 (4), p.1441-1451

2022

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Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional

IEEE transactions on pattern analysis and machine intelligence, 2020-11, Vol.42 (11), p.1-1

2020

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Coarse-to-fine salient object detection with low-rank matrix recovery

Neurocomputing (Amsterdam), 2020-02, Vol.376, p.232-243

2020

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Discovering common information in multi-view data

Information fusion, 2024-08, Vol.108, p.102400, Article 102400

2024

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Multi-view manifold learning with locality alignment

Pattern recognition, 2018-06, Vol.78, p.154-166

2018

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Improved functional link artificial neural network via convex combination for nonlinear active noise control

Applied soft computing, 2016-05, Vol.42, p.351-359

2016

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Multiscale principle of relevant information for hyperspectral image classification

Machine learning, 2023-04, Vol.112 (4), p.1227-1252

2023

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Multi-view non-negative matrix factorization by patch alignment framework with view consistency

Neurocomputing (Amsterdam), 2016-09, Vol.204, p.116-124

2016

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On Kernel Method–Based Connectionist Models and Supervised Deep Learning Without Backpropagation

Neural computation, 2020-01, Vol.32 (1), p.97-135

2020

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Dynamic Texture Synthesis via Image Reconstruction

2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015, p.1907-1911

2015

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Co-regularized multiview nonnegative matrix factorization with correlation constraint for representation learning

Multimedia tools and applications, 2018-05, Vol.77 (10), p.12955-12978

2018

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Human Heart Rate Estimation Using Ordinary Cameras under Natural Movement

2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015, p.1041-1046

2015

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A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network

IEEE transaction on neural networks and learning systems, 2023-10, Vol.34 (10), p.7541-7554

2023

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Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.3160-3164

2021

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Multiview Hybrid Embedding: A Divide-and-Conquer Approach

IEEE transactions on cybernetics, 2020-08, Vol.50 (8), p.3640-3653

2020

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Multi-View Information Bottleneck Without Variational Approximation

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.4318-4322

2022

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Kernel Learning for Dynamic Texture Synthesis

Causality detection with matrix-based transfer entropy

CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis

Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration

Understanding autoencoders with information theoretic concepts

Optimal Randomized Approximations for Matrix-based Rényi's Entropy

Gated information bottleneck for generalization in sequential environments

Coping with change: Learning invariant and minimum sufficient representations for fine-grained visual categorization

R2-trans: Fine-grained visual categorization with redundancy reduction

Modularizing Deep Learning via Pairwise Learning With Kernels

Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional

Coarse-to-fine salient object detection with low-rank matrix recovery

Discovering common information in multi-view data

Multi-view manifold learning with locality alignment

Improved functional link artificial neural network via convex combination for nonlinear active noise control

Multiscale principle of relevant information for hyperspectral image classification

Multi-view non-negative matrix factorization by patch alignment framework with view consistency

On Kernel Method–Based Connectionist Models and Supervised Deep Learning Without Backpropagation

Dynamic Texture Synthesis via Image Reconstruction

Co-regularized multiview nonnegative matrix factorization with correlation constraint for representation learning

Human Heart Rate Estimation Using Ordinary Cameras under Natural Movement

A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network

Deep Deterministic Information Bottleneck with Matrix-Based Entropy Functional

Multiview Hybrid Embedding: A Divide-and-Conquer Approach

Multi-View Information Bottleneck Without Variational Approximation

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