IEEE

Linear Feature Source Prediction and Recombination Network for Noisy Label Learning

Abstract: Collecting training data for deep models from the Internet is a common data acquisition approach. However, there are challenges in using these data directly, as they often contain inaccurate ...
IEEE

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources Than Sensors: A Deep Learning Methodology

Abstract: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize ...