Michael Wojnowicz, Di Zhang, Glenn Chisholm, Xuan Zhao, Matt Wolff. Projecting "Better Than Randomly": How to Reduce the Dimensionality of Very Large Datasets in a Way That Outperforms Random Projections. In 2016 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2016, Montreal, QC, Canada, October 17-19, 2016. pages 184-193, IEEE, 2016. [doi]
@inproceedings{WojnowiczZCZW16,
title = {Projecting "Better Than Randomly": How to Reduce the Dimensionality of Very Large Datasets in a Way That Outperforms Random Projections},
author = {Michael Wojnowicz and Di Zhang and Glenn Chisholm and Xuan Zhao and Matt Wolff},
year = {2016},
doi = {10.1109/DSAA.2016.26},
url = {http://dx.doi.org/10.1109/DSAA.2016.26},
researchr = {https://researchr.org/publication/WojnowiczZCZW16},
cites = {0},
citedby = {0},
pages = {184-193},
booktitle = {2016 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2016, Montreal, QC, Canada, October 17-19, 2016},
publisher = {IEEE},
isbn = {978-1-5090-5206-6},
}