The Spatiotemporal Data Analysis research group does research on machine learning algorithms to solve the challenges related to developing sustainable smart cities, mainly related to navigation and situational awareness.
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Code for "A Novel Cross-Attention-Based Pedestrian Visual–Inertial Odometry With Analyses Demonstrating Challenges in Dense Optical Flow"
Python 2
This is a special repository that defines the helsinki-sda-group GitHub homepage.
Code for the ECAI2024 paper Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders
Code for "A Novel Cross-Attention-Based Pedestrian Visual–Inertial Odometry With Analyses Demonstrating Challenges in Dense Optical Flow"
