| Paper ID | ARS-09.2 | ||
| Paper Title | INTERPRETABLE SYNTHETIC REDUCED NEAREST NEIGHBOR: AN EXPECTATION MAXIMIZATION APPROACH | ||
| Authors | Pooya Tavallali, University of California, Merced, United States; Peyman Tavallali, Independet Researcher, United States; Mohammad Reza Khosravi, Shiraz University of Technology, Iran; Mukesh Singhal, University of California, Merced, United States | ||
| Session | ARS-09: Explainable Machine Learning for Computer Vision | ||
| Time | Tuesday, 27 October, 14:30 - 14:55 | ||
| Topic | [ARS] Image & Video Analysis, Synthesis, and Retrieval: [MLR-APPL-EX Explainable Machine Learning for Computer Vision | ||
| IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
| Virtual Presentation | Click here to watch in the Virtual Conference | ||