Search Results for author: Yong Oh Lee

Found 6 papers, 4 papers with code

Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks

1 code implementation26 Sep 2021 Sungho Suh, Paul Lukowicz, Yong Oh Lee

The experimental results show that the proposed feature extraction method can effectively predict the RUL and outperforms the conventional RUL prediction approaches based on deep neural networks.

Discriminative feature generation for classification of imbalanced data

1 code implementation24 Oct 2020 Sungho Suh, Paul Lukowicz, Yong Oh Lee

In this paper, we propose a novel supervised discriminative feature generation (DFG) method for a minority class dataset.

Classification Data Augmentation +2

Two-stage generative adversarial networks for document image binarization with color noise and background removal

1 code implementation20 Oct 2020 Sungho Suh, Jihun Kim, Paul Lukowicz, Yong Oh Lee

Document image enhancement and binarization methods are often used to improve the accuracy and efficiency of document image analysis tasks such as text recognition.

Binarization Decoder +1

Predicting Chemical Properties using Self-Attention Multi-task Learning based on SMILES Representation

1 code implementation19 Oct 2020 Sangrak Lim, Yong Oh Lee

The selection of proper molecular descriptors and fingerprints is both important and challenging as the performance of such models is highly dependent on descriptors.

Multi-Task Learning Representation Learning

Fusion of Global-Local Features for Image Quality Inspection of Shipping Label

no code implementations26 Aug 2020 Sungho Suh, Paul Lukowicz, Yong Oh Lee

These results are expected to improve the shipping address recognition and verification system by applying different image preprocessing steps based on the classified conditions.

object-detection Object Detection

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