Abstract: Information Divergence serves as a method for measuring the difference between two probability distributions, directly impacting the performance of various tasks in statistical inference and ...
Abstract: This study aims to develop advanced and training-free full-reference image quality assessment (FR-IQA) models based on deep neural networks. Specifically, we investigate measures that allow ...
The U.S. Federal Reserve's landmark shift to a more tolerant stance on inflation will be a drag on the dollar for years and will raise hard questions about the role of central banking, challenging ...
In Paraguay, democracy was suitable from the start for the genuine expression of demagoguery, persuading the public, while ...
The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...