3 citations · 3 across the 2 of their papers we have counts for
2 papers
q-bio.GN2019
GeNet: Deep Representations for Metagenomics
Mateo Rojas-Carulla, Ilya Tolstikhin, Guillermo Luque +3
We introduce GeNet, a method for shotgun metagenomic classification from raw DNA sequences that exploits the known hierarchical structure between labels for training. We provide a…
physics.optics2013★ 3 cited
On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit
Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf
We establish a link between Fourier optics and a recent construction from the machine learning community termed the kernel mean map. Using the Fraunhofer approximation, it identifi…