mnistShort017 {curveDepth} | R Documentation |
A short version of the MNIST data set
Description
First 100 digits from the MNIST data set belonging to classes '0', '1', and '7' representable as curves agter skeletonization.
Usage
data("mnistShort017")
Format
A list of three elements '0', '1', and '7', each being an array with
dimensions (28, 28, 100)
. Each slice of each of these arrays, in third
dimension, contains a single monochrome digit image represented by a
28x28
indicator matrix. See
Lafaye De Micheaux, Mozharovksyi and Vimond (2018) and accompanying codes for
details on preprocessing.
Author(s)
Yann LeCun (Courant Institute, NYU), Corinna Cortes (Google Labs, New York), Christopher J.C. Burges (Microsoft Research, Redmond),
preprocessing performed by Myriam Vimond (CREST, Ensai, University of Bretagne Loire).
Source
http://yann.lecun.com/exdb/mnist/
References
LeCun, Y., Bottou, L.,Bengio, Y., and Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278-2324.
Lafaye De Micheaux, P., Mozharovskyi, P. and Vimond, M. (2018). Depth for curve data and applications.