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Motion boundary emphasised optical flow method for human action recognition

IET computer vision, 2020-09, Vol.14 (6), p.378-390

2020

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The Graph Neural Network Model

IEEE transaction on neural networks and learning systems, 2009-01, Vol.20 (1), p.61-80

2009

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Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results

Neural networks, 1998, Vol.11 (1), p.15-37

1998

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A self-organizing map for adaptive processing of structured data

IEEE transaction on neural networks and learning systems, 2003-05, Vol.14 (3), p.491-505

2003

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Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection

IEEE transaction on neural networks and learning systems, 2023-03, Vol.34 (3), p.1588-1600

2023

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Computational Capabilities of Graph Neural Networks

IEEE transaction on neural networks and learning systems, 2009-01, Vol.20 (1), p.81-102

2009

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A Balanced Approach to Multichannel Blind Deconvolution

IEEE transactions on circuits and systems. I, Regular papers, 2008-03, Vol.55 (2), p.599-613

2008

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ConvNeXt-ECA: An Effective Encoder Network for Few-Shot Learning

IEEE access, 2024, Vol.12, p.133648-133669

2024

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SFRA: spatial fusion regression augmentation network for facial landmark detection

Multimedia systems, 2024-10, Vol.30 (5), Article 300

2024

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Incremental training of support vector machines

IEEE transaction on neural networks and learning systems, 2005-01, Vol.16 (1), p.114-131

2005

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Multinomial Latent Logistic Regression for Image Understanding

IEEE transactions on image processing, 2016-02, Vol.25 (2), p.973-987

2016

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Fractal dimension pattern-based multiresolution analysis for rough estimator of speaker-dependent audio emotion recognition

International journal of wavelets, multiresolution and information processing, 2017-09, Vol.15 (5), p.1750042

2017

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Accurate and Fast Deep Learning Dose Prediction for a Preclinical Microbeam Radiation Therapy Study Using Low-Statistics Monte Carlo Simulations

Cancers, 2023-04, Vol.15 (7), p.2137

2023

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Mobile big data [Guest editorial]

IEEE network, 2016-05, Vol.30 (3), p.4-5

2016

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Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference

Machine learning, 2001-01, Vol.44 (1-2), p.161-183

2001

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Human Action Segmentation Based on a Streaming Uniform Entropy Slice Method

IEEE access, 2018, Vol.6, p.16958-16971

2018

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An improved algorithm for learning long-term dependency problems in adaptive processing of data structures

IEEE transaction on neural networks and learning systems, 2003-07, Vol.14 (4), p.781-793

2003

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Two regularizers for recursive least squared algorithms in feedforward multilayered neural networks

IEEE transaction on neural networks and learning systems, 2001-11, Vol.12 (6), p.1314-1332

2001

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Nonlinear system modeling via knot-optimizing B-spline networks

IEEE transaction on neural networks and learning systems, 2001-09, Vol.12 (5), p.1013-1022

2001

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The Vapnik–Chervonenkis dimension of graph and recursive neural networks

Neural networks, 2018-12, Vol.108, p.248-259

2018

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Managing Complex Change in School: Engaging pedagogy, technology, learning and leadership

1, 2014

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Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs

Advances in Focused Retrieval, 2009, p.469-481

2009

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Motion Boundary Trajectory for Human Action Recognition

Computer Vision - ACCV 2014 Workshops, 2015, p.85-98

2015

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A supervised training algorithm for self-organizing maps for structures

Pattern recognition letters, 2005-09, Vol.26 (12), p.1874-1884

2005

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Solving graph data issues using a layered architecture approach with applications to web spam detection

Neural networks, 2013-12, Vol.48, p.78-90

2013

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Motion boundary emphasised optical flow method for human action recognition

The Graph Neural Network Model

Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results

A self-organizing map for adaptive processing of structured data

Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection

Computational Capabilities of Graph Neural Networks

A Balanced Approach to Multichannel Blind Deconvolution

ConvNeXt-ECA: An Effective Encoder Network for Few-Shot Learning

SFRA: spatial fusion regression augmentation network for facial landmark detection

Incremental training of support vector machines

Multinomial Latent Logistic Regression for Image Understanding

Fractal dimension pattern-based multiresolution analysis for rough estimator of speaker-dependent audio emotion recognition

Accurate and Fast Deep Learning Dose Prediction for a Preclinical Microbeam Radiation Therapy Study Using Low-Statistics Monte Carlo Simulations

Mobile big data [Guest editorial]

Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference

Human Action Segmentation Based on a Streaming Uniform Entropy Slice Method

An improved algorithm for learning long-term dependency problems in adaptive processing of data structures

Two regularizers for recursive least squared algorithms in feedforward multilayered neural networks

Nonlinear system modeling via knot-optimizing B-spline networks

The Vapnik–Chervonenkis dimension of graph and recursive neural networks

Managing Complex Change in School: Engaging pedagogy, technology, learning and leadership

Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs

Motion Boundary Trajectory for Human Action Recognition

A supervised training algorithm for self-organizing maps for structures

Solving graph data issues using a layered architecture approach with applications to web spam detection

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