Abstract: Person re-identification (ReID) has achieved great improvement under supervised settings, but suffers from considerable degradation when large distribution shifts between training and ...

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

The COVID-19 pandemic created shutdowns, stay-at-home orders and event hiatuses. Though few of us were unaffected by the impacts, it seems some demographics may have experienced higher levels of ...

Abstract: Since data scarcity and data heterogeneity are prevailing for medical images, well-trained Convolutional Neural Networks (CNNs) using previous normalization methods may perform poorly when ...

For a fairly constant usage along time, we would expect the graph do display a roughly similar average height along the whole duration (regardless to the local bumps to be expected here and there).

Due to a planned power outage on Friday, 1/14, between 8am-1pm PST, some services may be impacted. A line drawing of the Internet Archive headquarters building façade. An illustration of a magnifying ...

In this paper we make two contributions to the analysis of brain oscillations with CFC techniques. First, we introduce a new bispectral CFC measure which is selective to couplings between three or ...

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a machine learning system such as a deep neural ...