Tue PM1.P.4
Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing
Katinka Müller, Vinay Chakravarthi Gogineni, Milica Orlandić, Stefan Werner, Dept. of Electronic Systems, NTNU, Norway, Norway
Session:
Tue PM1.P: Scene understanding and applications Poster
Track:
VIP - Visual Information Processing
Location:
Fennia Foyer
Presentation Time:
Tue, 5 Sep, 14:30 - 16:10 Finland Time (UTC +3)
Session Chair:
Nantheera Anantrasirichai, University of Bristol
Presentation
Discussion
Resources
No resources available.
Session Tue PM1.P
Tue PM1.P.1: A Simple Screw-Hole Discrimination Pipeline for Deployment in Autonomous Manufacturing
Nils Mandischer, Sebastian Döbler, Burkhard Corves, RWTH Aachen University, Germany
Tue PM1.P.2: MMGT: MULTIMODAL GRAPH-BASED TRANSFORMER FOR PAIN DETECTION
Kevin Feghoul, Deise Santana Maia, Mohamed Daoudi, Ali Amad, University of Lille, France
Tue PM1.P.3: Object Recognition in Atmospheric Turbulence Scenes
Disen Hu, Nantheera Anantrasirichai, University of Bristol, United Kingdom
Tue PM1.P.4: Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing
Katinka Müller, Vinay Chakravarthi Gogineni, Milica Orlandić, Stefan Werner, Dept. of Electronic Systems, NTNU, Norway, Norway
Tue PM1.P.5: Self-Attention Based Generative Adversarial Networks For Unsupervised Video Summarization
Maria Nektaria Minaidi, Charilaos Papaioannou, Alexandros Potamianos, National Technical University of Athens, Greece