Transfer Learning-Enhanced Instantaneous Multi-Person Indoor Localization by CSI

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Zhiyuan He, Ke Deng, Jiangchao Gong, Yi Zhou, Desheng Wang | Summary: Passive indoor localization, integral to smart buildings, emergency response, and indoor navigation, has traditionally been limited by a focus on single-target localization and reliance on multi-packet CSI. We introduce a novel Multi-target loss, notably enhancing […]


Continue.. Transfer Learning-Enhanced Instantaneous Multi-Person Indoor Localization by CSI

$Γ$-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data

Posted by klaurent Cornell

Kavli Affiliate: Itai Cohen | Summary:Natural systems with emergent behaviors often organize along low-dimensional subsets of high-dimensional spaces. For example, despite the tens of thousands of genes in the human genome, the principled study of genomics is fruitful because biological processes rely on coordinated organization that results in lower dimensional phenotypes. To uncover this organization, […]


Continue.. $Γ$-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data