JooSeuk Kim

6 papers and 169 indexed citations i.

JooSeuk Kim has authored 6 papers that have received a total of 169 indexed citations. This includes 5 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Computer Vision and Pattern Recognition. The topics of these papers are Anomaly Detection Techniques and Applications (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Neural Networks and Applications (2 papers). JooSeuk Kim is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Neural Networks and Applications (2 papers) and collaborates with scholars based in United States. JooSeuk Kim's co-authors include Clayton Scott and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Machine Learning Research