Packaged data modules for multiview learning benchmarks
Project description
Multiview Data
- Experimental package to give easy access to key toy and simulated datasets from the (deep) multiview learning literature
- Feedback and contributions are welcome
Sources
XRMB
https://home.ttic.edu/~klivescu/XRMB_data/full/README
This directory contains data based on the University of Wisconsin X-ray Microbeam Database (referred to here as XRMB).
The original XRMB manual can be found here: http://www.haskins.yale.edu/staff/gafos_downloads/ubdbman.pdf
We acknowledge John Westbury for providing the original data and for permitting this post-processed version to be redistributed. The original data collection was supported (in part) by research grant number R01 DC 00820 from the National Institute of Deafness and Other Communicative Disorders, U.S. National Institutes of Health.
The post-processed data provided here was produced as part of work supported in part by NSF grant IIS-1321015.
Some of the original XRMB articulatory data was missing due to issues such as pellet tracking errors. The data has been reconstructed in using the algorithm described in this paper:
Wang, Arora, and Livescu, "Reconstruction of articulatory measurements with smoothed low-rank matrix completion," SLT 2014. http://ttic.edu/livescu/papers/wang_SLT2014.pdf
The data provided here has been used for multi-view acoustic feature learning in this paper:
Wang, Arora, Livescu, and Bilmes, "Unsupervised learning of acoustic features via deep canonical correlation analysis," ICASSP 2015. http://ttic.edu/livescu/papers/wang_ICASSP2015.pdf
If you use this version of the data, please cite the papers above.
WIW
https://github.com/rotmanguy/DPCCA MIT License
Cars3d
https://github.com/llvqi/multiview_and_self-supervision Apache License 2.0
MNIST
https://github.com/bcdutton/AdversarialCanonicalCorrelationAnalysis Unlicensed
MFeat
https://github.com/abenton/wgcca MIT License
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for multiviewdata-0.1.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 226f49de6f29448b5a6718182b4ec708b79b97ffe91fd2ffddbef2fb2b52b241 |
|
MD5 | cb9c8553c8676cf7c3690fe5825e60e1 |
|
BLAKE2b-256 | 56efcdd39313bedc9899298c6190fefb47c47f8be6958e2559607290c18edb7a |