3 papers
cs.LG2026
An Unsupervised Tensor-Based Domain Alignment
Chong Hyun Lee, Kibae Lee, Hyun Hee Yim
We propose a tensor-based domain alignment (DA) algorithm designed to align source and target tensors within an invariant subspace through the use of alignment matrices. These matr…
cs.CV2025
DiagNet: Detecting Objects using Diagonal Constraints on Adjacency Matrix of Graph Neural Network
Chong Hyun Lee, Kibae Lee
We propose DaigNet, a new approach to object detection with which we can detect an object bounding box using diagonal constraints on adjacency matrix of a graph convolutional netwo…
cs.LG2022
Semi-supervised anomaly detection algorithm based on KL divergence (SAD-KL)
Chong Hyun Lee, Kibae Lee
The unlabeled data are generally assumed to be normal data in detecting abnormal data via semisupervised learning. This assumption, however, causes inevitable detection error when…