SiG-DML-P1.8
FEW-SHOT RADAR PERSON IDENTIFICATION VIA TRACKING-INTEGRATED INISAR AND PRE-TRAINED META-LEARNING
Jeffee Hsiung, Rengin Torun, Katholieke Universiteit Leuven, China; S. Hamed Javadi, Hichem Sahli, imec, Belgium
Session:
SiG-DML-P1: Pattern Recognition and Classification Poster
Track:
SiG-DML - Signal and Data Analytics for Machine Learning
Location:
Balcony I East
Presentation Time:
Tue, 1 Sep, 10:50 - 12:30 Belgium Time (UTC +2)
Presentation
Discussion
Resources
No resources available.
Session SiG-DML-P1
SiG-DML-P1.1: Single-Frame Radar Object Detection and Segmentation Using a CNN–Swin Hybrid Architecture
Iqbal Banwait, Toronto Metropolitan University, Canada; Niclas Zeller, Karlsruhe University of Applied Sciences, Germany; Javad Alirezaie, Toronto Metropolitan University, Canada
SiG-DML-P1.2: Bridging the Sim-to-Real Gap in Semiconductor Visual Program Synthesis via Input Binarization
Yusuke Ohtsubo, Kota Dohi, Koichiro Yawata, Koki Takeshita, Tatsuya Sasaki, Hitachi, Ltd., Japan
SiG-DML-P1.3: Spectral Aliasing Pretext: A novel task for Self-Supervised fault diagnosis in rotating machinery
Victor Gialis, University Jean Monnet, France; Maxime Metz, David Esteve, Pellenc Selective Technologies, France; Abdenour Soualhi, University Jean Monnet, France
SiG-DML-P1.4: MULTI-TASK LEARNING FOR THE DETECTION OF PATIENT-VENTILATOR ASYNCHRONY
Amin Sabbah, Tom Bakkes, Eindhoven University of Technology, Netherlands; Ashley De Bie, Catharina Ziekenhuis Eindhoven, Netherlands; Massimo Mischi, Simona Turco, Eindhoven University of Technology, Netherlands
SiG-DML-P1.5: PLSP (PRE-HOC LIMINAL SPACE PROFILING): OOD PREDICTION OVER DETECTION – AN ANTICIPATORY APPROACH FOR MACHINE LEARNING MODEL RELIABILITY
Vipul Bansal, University of Wisconsin Madison, United States; Himanshu Buckchash, IMC University of Applied Sciences Krems, Austria; Balasubramanian Raman, Indian Institute of Technology Roorkee, India; Deepak Dhungana, IMC University of Applied Sciences Krems, Austria
SiG-DML-P1.6: Discovering Multiple Subdimensional Motifs in Multivariate Time Series
Valerio Guerrini, Centre Borelli, France; Thibaut Germain, CMAP, France; Charles Truong, LaMME, France; Laurent Oudre, Centre Borelli, France
SiG-DML-P1.7: MULTI-SCALE FEATURE ATTENTION NETWORK FOR POLYMER CLASSIFICATION USING TERAHERTZ SPECTROSCOPY
Roshni Mahtani, Ilán Carretero, Universitat Politècnica de València, Spain; Daniel Moreno-Paris, Aldo Moreno-Oyervides, Laura Monroy, Oscar Elías Bonilla-Manrique, Universidad Carlos III de Madrid, Spain; Rocío del Amor, Universitat Politècnica de València, Spain
SiG-DML-P1.8: FEW-SHOT RADAR PERSON IDENTIFICATION VIA TRACKING-INTEGRATED INISAR AND PRE-TRAINED META-LEARNING
Jeffee Hsiung, Rengin Torun, Katholieke Universiteit Leuven, China; S. Hamed Javadi, Hichem Sahli, imec, Belgium
SiG-DML-P1.9: FORWARD CORRECTION AND PROBABILISTIC PSEUDO-LABELS FOR LEARNING FROM WEAK LABELS
Chi Cui, Jesús Cid-Sueiro, University Carlos III of Madrid, Spain; Hei Victor Cheng, Aarhus University, Denmark
SiG-DML-P1.10: BAYESIAN CLASSIFICATION OF TRAJECTORIES WITH A STOCHASTIC GENERATIVE MODEL
Christian Pollitt, University Of Liverpool, United Kingdom; Murat Uney, University Of Edinburgh, United Kingdom