T3.R3.2
Overdispersion parameter estimation for negative binomial optimization for low-photon imaging
Yu Lu, Roummel F. Marcia, University of California, Merced, United States
Session:
T3.R3: Machine Learning for Signal Processing Applications Lecture
Track:
Machine Learning and Artificial Intelligence
Location:
Isabela III
Presentation Time:
Tue, 16 Dec, 18:00 - 18:20 AST (UTC -4)
Session Co-Chairs:
Yue Lu, Harvard University and Víctor Tenorio, King Juan Carlos University
Session T3.R3
T3.R3.1: MULTI-HEAD ARCHITECTURE FOR OPEN-SET ANOMALY DETECTION OF FAST RADIO BURSTS
Benjamin Amblard, Université Grenoble-Alpes, France; Sara El Bouch, Université Côte d'Azur, France; Mauro Dalla Mura, Université Grenoble-Alpes, France; André Ferrari, Cédric Richard, Université Côte d'Azur, France
T3.R3.2: Overdispersion parameter estimation for negative binomial optimization for low-photon imaging
Yu Lu, Roummel F. Marcia, University of California, Merced, United States
T3.R3.3: A MACHINE LEARNING APPROACH TO FORECASTING ENERGY CONSUMPTION AT ELECTRIC VEHICLE CHARGING STATIONS
Deyslen Mariano-Hernandez, David Aquino-Osorio, Armando Jose Taveras Cruz, Edwin Sanchez-Camilo, Instituto Tecnologico de Santo Domingo, Dominican Republic; Ali Bassam, Universidad Autónoma de Yucatán, Mexico; Miguel Aybar-Mejia, Instituto Tecnologico de Santo Domingo, Dominican Republic
T3.R3.4: DoRF: Doppler Radiance Fields for Robust Human Activity Recognition Using Wi-Fi
Navid Hasanzadeh, Shahrokh Valaee, University of Toronto, Canada
Contacts