yale: Face recognition data set.
In DavidHofmeyr/spuds: Spectral Partitioning Using Density Separation
Description
Usage
Format
Source
References
Description
This data set contains vectorised images of the faces of 10 different human subjects with different poses and lighting conditions. The images were compressed to 30x40 pixels.
Usage
1
Format
A list with entries $x (a 5850x1200 matrix with each row corresponding to an image) and $c (a vector of labels indicating the human subject).
Source
Yale Faces Database B. Compressed images available from [https://cervisia.org/machine_learning_data.php/]
References
Georghiades, A.S. and Belhumeur, P.N. and Kriegman, D.J. (2001) From Few to Many: Illumination Cone Models for Face Recognition under
Variable Lighting and Pose. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6) pp. 643–660.
DavidHofmeyr/spuds documentation built on May 20, 2019, 9:40 a.m.
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Description Usage Format Source References
Description
This data set contains vectorised images of the faces of 10 different human subjects with different poses and lighting conditions. The images were compressed to 30x40 pixels.
Usage
1 |
Format
A list with entries $x (a 5850x1200 matrix with each row corresponding to an image) and $c (a vector of labels indicating the human subject).
Source
Yale Faces Database B. Compressed images available from [https://cervisia.org/machine_learning_data.php/]
References
Georghiades, A.S. and Belhumeur, P.N. and Kriegman, D.J. (2001) From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6) pp. 643–660.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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