11 citations · 11 across the 3 of their papers we have counts for
3 papers · 1 filter
Neural quantum support vector data description for one-class classification
Changjae Im, Hyeondo Oh, Daniel K. Park
One-class classification (OCC) is a fundamental problem in machine learning with numerous applications, such as anomaly detection and quality control. With the increasing complexit…
Schmidt quantum compressor
Israel F. Araujo, Hyeondo Oh, Nayeli A. Rodríguez-Briones +1
This work introduces the Schmidt quantum compressor, an innovative approach to quantum data compression that leverages the principles of Schmidt decomposition to encode quantum inf…
Quantum support vector data description for anomaly detection
Hyeondo Oh, Daniel K. Park
Anomaly detection is a critical problem in data analysis and pattern recognition, finding applications in various domains. We introduce quantum support vector data description (QSV…