A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Abstract: In the near-field condition, the wavenumber spectrum exhibits spatial variance, which renders the fast factorized backprojection algorithm (FFBPA) ineffective in improving the imaging ...
Beijing wants to lead the world in developing cutting-edge artificial intelligence, but it also wants companies to adhere to ...
Abstract: Conventional time-of-arrival localization methods often suffer from performance degradation in the presence of outliers. To address this issue, a robust framework is proposed to mitigate the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results