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Found 4 papers, 2 papers with code
Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces
The sensor placement problem is a common problem that arises when monitoring correlated phenomena, such as temperature, precipitation, and salinity.
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition
mmWave radar-based gait recognition is a novel user identification method that captures human gait biometrics from mmWave radar return signals.
Deep Gaussian Processes: A Survey
Gaussian processes are one of the dominant approaches in Bayesian learning.
Deep CSI Learning for Gait Biometric Sensing and Recognition
Gait is a person's natural walking style and a complex biological process that is unique to each person.
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