MNIST Multiview Datasets

MNIST is a publicly available dataset consisting of 70, 000 images of handwritten digits distributed over ten classes. We generated 2 four-view datasets where each view is a vector of R^{14 x 14}:

• MNIST₁: It is generated by considering 4 quarters of image as 4 views.
• MNIST₂: It is generated by considering 4 overlapping views around the centre of images: this dataset brings redundancy between the views.

Related Papers:

Goyal, Anil, Emilie Morvant, Pascal Germain, and Massih-Reza Amini. 
"Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters."
Neurocomputing, 358, 2019, pp. 81-92.



Link to the ArXiv version:
https://arxiv.org/abs/1808.05784

Published Version:
https://doi.org/10.1016/j.neucom.2019.04.072

Goyal, Anil, Emilie Morvant, and Massih-Reza Amini. 
"Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization." 
In International Symposium on Intelligent Data Analysis, pp. 124-136. Springer, Cham, 2018.

Link to the ArXiv version: 
https://arxiv.org/abs/1805.10212

Published Version:
https://doi.org/10.1007/978-3-030-01768-2_11