Hyeyoung Park

Orcid: 0000-0003-0716-4385

According to our database1, Hyeyoung Park authored at least 48 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Prediction Accuracy and Adversarial Robustness of Error-Based Input Perturbation Learning.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

Efficient Few-Shot Classification Using Self-Supervised Learning and Class Factor Analysis.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

2023
An Integrated Approach to Near-duplicate Image Detection.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

Effect of Optimization Techniques on Feedback Alignment Learning of Neural Networks.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

2022
An image selection framework for automatic report generation.
Multim. Tools Appl., 2022

2020
Automatic Image Recommendation for Economic Topics using Visual and Semantic Information.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

2019
Object Recognition in Very Low Resolution Images Using Deep Collaborative Learning.
IEEE Access, 2019

Adaptive Natural Gradient Method for Learning Neural Networks with Large Data set in Mini-Batch Mode.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

Image Recommendation for Automatic Report Generation using Semantic Similarity.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

2018
Correction: Automatic Classification of Tremor Severity in Parkinson's Disease Using a Wearable Device. <i>Sensors</i> 2017, <i>17</i>, 2067.
Sensors, 2018

Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network.
Comput. Biol. Medicine, 2018

2017
Automatic Classification of Tremor Severity in Parkinson's Disease Using a Wearable Device.
Sensors, 2017

Detection, Alignment, and Recognition of Partially Occluded Human Face Based on Statistical Learning of Local Features.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

Recognition of Facial Attributes Using Multi-Task Learning of Deep Networks.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

2016
Enhanced hand part classification from a single depth image using random decision forests.
IET Comput. Vis., 2016

2015
Improving Performance of Facial Expression Recognition using Multi-task Learning of Neural Networks.
Proceedings of the 3rd International Conference on Human-Agent Interaction, 2015

Measuring Similarity Between Matrix Objects for Pattern Recognition.
Proceedings of the 3rd International Conference on Human-Agent Interaction, 2015

Unconstrained detection of freezing of Gait in Parkinson's disease patients using smartphone.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Robust recognition of face with partial variations using local features and statistical learning.
Neurocomputing, 2014

Matrix correlation distance for 2D image classification.
Proceedings of the Symposium on Applied Computing, 2014

A hierarchical structure for gesture recognition using RGB-D sensor.
Proceedings of the second international conference on Human-agent interaction, 2014

2013
Weighted Pooling of Image Code with Saliency Map for Object Recognition.
Proceedings of the Multimedia and Ubiquitous Engineering, 2013

Reliable face recognition using feature selection and image rejection based on probabilistic face model.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

2012
Probabilistic learning of similarity measures for tensor PCA.
Pattern Recognit. Lett., 2012

2011
A Robust Face Recognition through Statistical Learning of Local Features.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Facial Image Analysis Using Subspace Segregation Based on Class Information.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
An Efficient Face Recognition through Combining Local Features and Statistical Feature Extraction.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

2009
Singularity and Slow Convergence of the EM algorithm for Gaussian Mixtures.
Neural Process. Lett., 2009

A feature analysis for dimension reduction based on a data generation model with class factors and environment factors.
Comput. Vis. Image Underst., 2009

Nonlinear dimension reduction using ISOMap based on class information.
Proceedings of the International Joint Conference on Neural Networks, 2009

A Robust Keypoints Matching Strategy for SIFT: An Application to Face Recognition.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2007
A Subspace Method Based on Data Generation Model with Class Information.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Singularities Affect Dynamics of Learning in Neuromanifolds.
Neural Comput., 2006

Classification of Bio-data with Small Data Set Using Additive Factor Model and SVM.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Multilayer Perceptron and Natural Gradient Learning.
New Gener. Comput., 2005

A Robust SVM Design for Multi-class Classification.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC.
Neural Comput., 2004

Learning Dynamics of Neural Networks with Singularity - Standard Gradient vs. Natural Gradient.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

2003
Learning and inference in hierarchical models with singularities.
Syst. Comput. Jpn., 2003

2002
Network Optimization through Learning and Pruning in Neuromanifold.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

A Statistical Identification and Verification Method for Biometrics.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

2001
Geometrical Singularities in the Neuromanifold of Multilayer Perceptrons.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Practical Consideration on Generalization Property of Natural Gradient Learning.
Proceedings of the Connectionist Models of Neurons, 2001

Generalization Error and Training Error at Singularities of Multilayer Perceptrons.
Proceedings of the Connectionist Models of Neurons, 2001

2000
Adaptive natural gradient learning algorithms for various stochastic models.
Neural Networks, 2000

Adaptive Method of Realizing Natural Gradient Learning for Multilayer Perceptrons.
Neural Comput., 2000

An Efficient Learning Algorithm Using Naturla Gradient and Second Order Information of Error Surface.
Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

1996
Adaptive SEJONG-NET for On-line Hangul Recognition.
Proceedings of the PRICAI'96: Topics in Artificial Intelligence, 1996


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