35 citations · 102 across the 51 of their papers we have counts for
4 papers · 1 filter
Sequential Targeting: an incremental learning approach for data imbalance in text classification
Joel Jang, Yoonjeon Kim, Kyoungho Choi +1
Classification tasks require a balanced distribution of data to ensure the learner to be trained to generalize over all classes. In real-world datasets, however, the number of inst…
Discriminative feature generation for classification of imbalanced data
Sungho Suh, Paul Lukowicz, Yong Oh Lee
The data imbalance problem is a frequent bottleneck in the classification performance of neural networks. In this paper, we propose a novel supervised discriminative feature genera…
Two-stage generative adversarial networks for document image binarization with color noise and background removal
Sungho Suh, Jihun Kim, Paul Lukowicz +1
Document image enhancement and binarization methods are often used to improve the accuracy and efficiency of document image analysis tasks such as text recognition. Traditional non…
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label
Sungho Suh, Paul Lukowicz, Yong Oh Lee
The demands of automated shipping address recognition and verification have increased to handle a large number of packages and to save costs associated with misdelivery. A previous…