Gomes, Ryan and Welinder, Peter and Krause, Andreas and Perona, Pietro (2012) Crowdclustering. In: Advances in Neural Information Processing Systems 24 (NIPS 2011). Neural Information Processing Systems , La Jolla, CA, pp. 558-566. ISBN 9781618395993. https://resolver.caltech.edu/CaltechAUTHORS:20140527-173311294
|
PDF
- Published Version
See Usage Policy. 1MB | |
![]() |
PDF
- Accepted Version
See Usage Policy. 1MB | |
![]() |
PDF
- Submitted Version
See Usage Policy. 8MB |
Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20140527-173311294
Abstract
Is it possible to crowdsource categorization? Amongst the challenges: (a) each worker has only a partial view of data, (b) different workers may have different clustering criteria and may produce different numbers of categories, (c) the underlying category structure may be hierarchical. We propose a Bayesian model of how workers may approach clustering and show how one may infer clusters/categories, as well as worker parameters, using this model. Our experiments, carried out on large collections of images, suggest that Bayesian crowdclustering works well and may be superior to single-expert annotations.
Item Type: | Book Section | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Related URLs: |
| ||||||||||
ORCID: |
| ||||||||||
Additional Information: | This work was supported by ONR MURI grant 1015-G-NA-127, ARL grant W911NF-10-2-0016, and NSF grants IIS-0953413 and CNS-0932392. | ||||||||||
Funders: |
| ||||||||||
Other Numbering System: |
| ||||||||||
Record Number: | CaltechAUTHORS:20140527-173311294 | ||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20140527-173311294 | ||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||
ID Code: | 45926 | ||||||||||
Collection: | CaltechAUTHORS | ||||||||||
Deposited By: | Pietro Perona | ||||||||||
Deposited On: | 28 May 2014 01:06 | ||||||||||
Last Modified: | 09 Mar 2020 13:18 |
Repository Staff Only: item control page