About this document
Kernelized Bures Metric A Framework For Effective Domain Adaptation by felmiket fikadu is a document available to read on EtoBox.
The document introduces the Kernel Bures Sub-Domain Adaptation (KBSDA) approach to enhance unsupervised domain adaptation (UDA) in time series sensor data analysis, addressing challenges related to complex temporal dynamics and distribution gaps between source and target domains. By employing fast Fourier transform for frequency feature extraction and the Local Maximum Mean Discrepancy metric, the method captures intricate local information and improves model performance, achieving high accuracy across vari
- Author
- felmiket fikadu
- Language
- EN