2 citations · 4 across the 4 of their papers we have counts for
4 papers
Homography augumented momentum constrastive learning for SAR image retrieval
Seonho Park, Maciej Rysz, Kathleen M. Dipple +1
Deep learning-based image retrieval has been emphasized in computer vision. Representation embedding extracted by deep neural networks (DNNs) not only aims at containing semantic i…
Deep Data Density Estimation through Donsker-Varadhan Representation
Seonho Park, Panos M. Pardalos
Estimating the data density is one of the challenging problems in deep learning. In this paper, we present a simple yet effective method for estimating the data density using a dee…
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection
Seonho Park, George Adosoglou, Panos M. Pardalos
Building a scalable machine learning system for unsupervised anomaly detection via representation learning is highly desirable. One of the prevalent methods is using a reconstructi…
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization
Seonho Park, Seung Hyun Jung, Panos M. Pardalos
We focus on minimizing nonconvex finite-sum functions that typically arise in machine learning problems. In an attempt to solve this problem, the adaptive cubic regularized Newton…