Search Results - "Moon, Hankyu" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Network catastrophe: self-organized patterns reveal both the instability and the structure of complex networks

Network catastrophe: self-organized patterns reveal both the instability and the structure of complex networks

by Moon, Hankyu, Lu, Tsai-Ching
Published in Scientific reports (30.03.2015)

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Journal Article

Nonlinear semantic space based on lexical graph

Nonlinear semantic space based on lexical graph

by Hankyu Moon, Benvenuto, James, Bhattacharyya, Rajan
Published in 2016 Future Technologies Conference (FTC) (01.12.2016)

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Conference Proceeding

Estimating facial pose from a sparse representation [face recognition applications]

Estimating facial pose from a sparse representation [face recognition applications]

by Hankyu Moon, Miller, M.L.
Published in 2004 International Conference on Image Processing, 2004. ICIP '04 (2004)

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Conference Proceeding

Active Learning Performance in Labeling Radiology Images Is 90% Effective

Active Learning Performance in Labeling Radiology Images Is 90% Effective

by Bangert, Patrick, Moon, Hankyu, Woo, Jae Oh, Didari, Sima, Hao, Heng
Published in Frontiers in radiology (30.11.2021)

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Journal Article

Monte Carlo simulation techniques for probabilistic tracking

Monte Carlo simulation techniques for probabilistic tracking

by Baoxin Li, Chellappa, R., Hankyu Moon
Published in Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256) (2001)

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Conference Proceeding

Accelerating Framework for Simultaneous Optimization of Model Architectures and Training Hyperparameters

Accelerating Framework for Simultaneous Optimization of Model Architectures and Training Hyperparameters

by Choi, Youngjoon, Choi, Jongwon, Moon, Hankyu, Lee, Jaeyoung, Chang, Jin-Yeop
Published in 2019 IEEE International Conference on Image Processing (ICIP) (01.09.2019)

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Conference Proceeding

Optimal edge-based shape detection

Optimal edge-based shape detection

by Moon, H., Chellappa, R., Rosenfeld, A.
Published in IEEE transactions on image processing (01.11.2002)

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Journal Article

Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples

Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples

by Lee, JoonHo, Woo, Jae Oh, Moon, Hankyu, Lee, Kwonho
Year of Publication 19.07.2023

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Journal Article

Bayesian Active Learning for Semantic Segmentation

Bayesian Active Learning for Semantic Segmentation

by Didari, Sima, Hu, Wenjun, Woo, Jae Oh, Hao, Heng, Moon, Hankyu, Min, Seungjai
Year of Publication 03.08.2024

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Journal Article

Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation

Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation

by Haque, Ayaan, Moon, Hankyu, Hao, Heng, Didari, Sima, Woo, Jae Oh, Bangert, Patrick
Year of Publication 08.08.2022

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Journal Article

Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation

Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation

by Lee, JoonHo, Woo, Jae Oh, Seok, Juree, Hassanzadeh, Parisa, Jang, Wooseok, Son, JuYoun, Didari, Sima, Gutow, Baruch, Hao, Heng, Moon, Hankyu, Hu, Wenjun, Kwon, Yeong-Dae, Lee, Taehee, Min, Seungjai
Year of Publication 10.05.2024

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Journal Article

PatchNet: Unsupervised Object Discovery based on Patch Embedding

PatchNet: Unsupervised Object Discovery based on Patch Embedding

by Moon, Hankyu, Hao, Heng, Didari, Sima, Woo, Jae Oh, Bangert, Patrick
Year of Publication 16.06.2021

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Journal Article

Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples

Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples

by Lee, JoonHo, Jae Oh Woo, Moon, Hankyu, Lee, Kwonho
Published in arXiv.org (19.07.2023)

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Paper

Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification

Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification

by Hao, Heng, Moon, Hankyu, Didari, Sima, Woo, Jae Oh, Bangert, Patrick
Year of Publication 24.02.2021

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Journal Article

Method and system for detecting shopping groups based on trajectory dynamics

Method and system for detecting shopping groups based on trajectory dynamics

by Moon, Hankyu, Sharma, Rajeev, Jung, Namsoon
Year of Publication 11.05.2021

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Patent

Bayesian Active Learning for Semantic Segmentation

Bayesian Active Learning for Semantic Segmentation

by Didari, Sima, Hu, Wenjun, Jae Oh Woo, Heng Hao, Moon, Hankyu, Seungjai Min
Published in arXiv.org (03.08.2024)

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Paper

Method and system for finding correspondence between point-of-sale data and customer behavior data

Method and system for finding correspondence between point-of-sale data and customer behavior data

by Moon, Hankyu, Sharma, Rajeev, Mummareddy, Satish
Year of Publication 14.07.2020

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Patent

BAYESIAN SEMANTIC SEGMENTATION ACTIVE LEARNING WITH BETA APPROXIMATION

BAYESIAN SEMANTIC SEGMENTATION ACTIVE LEARNING WITH BETA APPROXIMATION

by WOO, Jae Oh, HAO, Heng, MOON, Hankyu, BANGERT, Patrick, DIDARI, Sima
Year of Publication 16.11.2023

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Patent

Nonlinear semantic space based on lexical graph

Nonlinear semantic space based on lexical graph

by Benvenuto, James, Moon, Hankyu, Bhattacharyya, Rajan
Year of Publication 06.08.2019

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Patent

Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation

Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation

by Haque, Ayaan, Moon, Hankyu, Heng Hao, Didari, Sima, Jae Oh Woo, Bangert, Patrick
Published in arXiv.org (22.12.2022)

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Paper