Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach
Published in ACM Transactions on Intelligent Systems and Technology, 2021
Recommended citation: Gupta, J., Molnar, C., Xie, Y., Knight, J., & Shekhar, S. (2021). Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach. ACM Transactions on Intelligent Systems and Technology (TIST), 12(6), 1-21. https://dl.acm.org/doi/pdf/10.1145/3466688
This paper invesigates the proposed Spatial Variability Aware Neural Network (SVANN), where trained weights depend on geographical location but are trained independently, and extends the idea into a general approach where trained weights are instead selected dependant upon geographical location.
Gupta, J., Molnar, C., Xie, Y., Knight, J., & Shekhar, S. (2021). Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach. ACM Transactions on Intelligent Systems and Technology (TIST), 12(6), 1-21.