3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2020
A small note on variation in segmentation annotations
Silas Nyboe Ørting
We report on the results of a small crowdsourcing experiment conducted at a workshop on machine learning for segmentation held at the Danish Bio Imaging network meeting 2020. Durin…
cs.CV2020★ 1 cited
Multi-layered tensor networks for image classification
Raghavendra Selvan, Silas Ørting, Erik B Dam
The recently introduced locally orderless tensor network (LoTeNet) for supervised image classification uses matrix product state (MPS) operations on grids of transformed image patc…
cs.CV2020★ 3 cited
Locally orderless tensor networks for classifying two- and three-dimensional medical images
Raghavendra Selvan, Silas Ørting, Erik B Dam
Tensor networks are factorisations of high rank tensors into networks of lower rank tensors and have primarily been used to analyse quantum many-body problems. Tensor networks have…