Abstract: Subspace learning has been widely applied for joint feature extraction and dimensionality reduction, demonstrating significant efficacy. Numerous subspace learning methods with diverse ...
Gilbert Gee and Annie Ro depict systemic racism as the hidden base of an iceberg 10 (see illustration in online appendix exhibit 1). 11 The iceberg’s visible part represents the overt racism that ...
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 ...
Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Vikki Velasquez is a researcher and writer who has managed, coordinated, ...
Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Amilcar has 10 years of FinTech, blockchain, and crypto startup ...
@inproceedings{ngo2025boids, title={BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings}, author={Ngo, Lam and Ha, Huong and Chan, Jeffrey and ...