Class-Variational Learning With Capsule Networks for Deep Entity-Subspace Clustering-Reference-Cited by-同舟云学术

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Class-Variational Learning With Capsule Networks for Deep Entity-Subspace Clustering

Published:2023 Issue: Volume:11 Page:117368-117384
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Steur Nikolai A. K.¹^ORCID,Schwenker Friedhelm¹^ORCID

Affiliation:

1. Institute of Neural Information Processing, Ulm University, Ulm, Germany

Funder

Landesgraduiertenförderungsgesetz (LGFG) Scholarship through Ulm University

German Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10286846.pdf?arnumber=10286846

Reference53 articles.

1. Dynamic routing between capsules;sabour;Proc 31st Conf Neural Inf Process Syst (NIPS),2017

2. Unsupervised deep embedding for clustering analysis;xie;Proc 33rd Int Conf Mach Learn (ICML),2016

3. Sparse unsupervised capsules generalize better;rawlinson;arXiv 1804 06094,2018

4. Matrix capsules with em routing;hinton;Proc Int Conf Learn Represent (ICLR),2018

5. Co-mixup: Saliency guided joint mixup with supermodular diversity;kim;Proc Int Conf Learn Represent (ICLR),2021

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