Abstract: We analyze why the orthogonality penalty improves quantization in deep neural networks. Using results from perturbation theory as well as through extensive experiments with Resnet50, ...

Multi-metric orthogonality score offers a comprehensive evaluation of LC×LC separation quality, reducing user bias and enhancing reproducibility. The Python-based tool integrates nine orthogonality ...

Abstract: The performance of visual odometry is dependent upon the quality of features selected for computing the frame-to-frame transformation. In order to ensure the quality of selected features, ...

Figure 1: N-glycan analysis using peptide mapping and fluorescent tagging; (a) shows peptide-mapping signals observed for an IgG glycopeptide, and the region containing doubly charged signals is shown ...

The enhanced separation power of two-dimensional (2D) chromatography has become accessible thanks to the commercialization of dedicated two-dimensional systems. However, with great separation power ...

Modifications made during metabolic engineering for overproduction of chemicals have network-wide effects on cellular function due to ubiquitous metabolic interactions. These interactions, that make ...

In mathematical circles, the word ‘orthogonal’ is used to define relations or objects that are non-overlapping, uncorrelated or independent. This definition is highly relevant when referring to ...