Abstract: This letter introduces a novel method for decomposing high-order filter transfer matrices using the Bezout theorem, ensuring numerical stability. By employing polynomial division and ...
Abstract: Low-Rank Approximation (LRA) is a commonly used method for compressing deep learning (DL) models by factorizing weight matrices into lower-dimensional components. Although LRA is most ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback