| Paper ID | IDSP-L1.2 |
| Paper Title |
ROBUST AND COMPUTATIONALLY-EFFICIENT ANOMALY DETECTION USING POWERS-OF-TWO NETWORKS |
| Authors |
Usama Muneeb, Erdem Koyuncu, University of Illinois at Chicago, United States; Yasaman Keshtkarjahromi, Seagate Technology LLC, United States; Hulya Seferoglu, University of Illinois at Chicago, United States; Mehmet Fatih Erden, Seagate Technology LLC, United States; Ahmet Enis Cetin, University of Illinois at Chicago, United States |
| Session | IDSP-L1: Signal Processing for Emerging Industry Applications |
| Location | On-Demand |
| Session Time: | Wednesday, 06 May, 16:30 - 18:30 |
| Presentation Time: | Wednesday, 06 May, 16:50 - 17:10 |
| Presentation |
Lecture
|
| Topic |
Industry DSP: [MLR-APPL] Applications of machine learning |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |