Publications associées à ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks

Publications associées (22)

Tensor Methods in Computer Vision and Deep Learning

Tensors, or multidimensional arrays, are data structures that can naturally represent visual data of multiple dimensions. Inherently able to efficiently capture structured, latent semantic spaces and high-order interactions, tensors have a long history of ...

2021

Feature Learning for Blood Pressure Estimation from Photoplethysmography

Pascal Frossard, Clémentine Léa Aguet

Blood pressure (BP) is an important indicator for prevention and management of cardiovascular diseases. Alongside the improvement in sensors and wearables, photoplethysmography (PPG) appears to be a promising technology for continuous, non-invasive and cuf ...

IEEE2021