Sketch Recognition Based on Manifold Learning
Abstract
Current feature-based methods for sketch recognition systems rely on human-selected features. Certain ma-chine learning techniques have been found to be good nonlinear features extractors. In this paper, we ap-ply a manifold learning method, kernel Isomap, with a new algorithm for multi-stroke sketch recognition, which significantly outperforms the standard feature-based techniques.
Cite
Text
Choi and Hammond. "Sketch Recognition Based on Manifold Learning." AAAI Conference on Artificial Intelligence, 2008.Markdown
[Choi and Hammond. "Sketch Recognition Based on Manifold Learning." AAAI Conference on Artificial Intelligence, 2008.](https://mlanthology.org/aaai/2008/choi2008aaai-sketch/)BibTeX
@inproceedings{choi2008aaai-sketch,
title = {{Sketch Recognition Based on Manifold Learning}},
author = {Choi, Heeyoul and Hammond, Tracy},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2008},
pages = {1786-1787},
url = {https://mlanthology.org/aaai/2008/choi2008aaai-sketch/}
}