Learning Similarity for Character Recognition and 3D Object Recognition
Computer Vision and Pattern Recognition
2007-12-04 v1
Abstract
I describe an approach to similarity motivated by Bayesian methods. This yields a similarity function that is learnable using a standard Bayesian methods. The relationship of the approach to variable kernel and variable metric methods is discussed. The approach is related to variable kernel Experimental results on character recognition and 3D object recognition are presented..
Cite
@article{arxiv.0712.0131,
title = {Learning Similarity for Character Recognition and 3D Object Recognition},
author = {Thomas M. Breuel},
journal= {arXiv preprint arXiv:0712.0131},
year = {2007}
}