IEEE

Matrix-Inversion-Free Sparse Bayesian Learning for High-Resolution Radar Imagery via Improved Variational Inference

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...
Frontiers

Assessment of phylogenetic informativeness in mitochondrial and nuclear genes for mammalian systematics using sparse learning

Department of Genetics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil In this work, we used this Lasso approach to conduct a large-scale analysis of phylogenetic informativeness across ...
IEEE

Synthesis of Sparse Antenna Arrays Using Denoising Diffusion Probabilistic Models

Abstract: Designing sparse arrays with fewer antenna elements and lower peak sidelobe level (PSLL) is critical and challenging for antenna arrays in terminal devices in Internet of Things (IoT) ...