High Speed Video-based health monitoring using 3 D Deep Learning Conference

Abstract

Recently, deep learning models have been<lb>shown to outperform other state of the art techniques in<lb>handling and analyzing large dimensional data (both<lb>spatial and temporal), by learning the hierarchical<lb>features to perform various tasks such as, classification<lb>and bulk structure detection given a large corpus of 2-<lb>dimensional (2D) data or… (More)

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