Sketch recognition based on manifold learning Conference Paper uri icon

abstract

  • Current feature-based methods for sketch recognition systems rely on human-selected features. Certain machine learning techniques have been found to be good nonlinear features extractors. In this paper, we apply a manifold learning method, kernel Isomap, with a new algorithm for multi-stroke sketch recognition, which significantly outperforms the standard feature-based techniques. Copyright 2008.

published proceedings

  • Proceedings of the National Conference on Artificial Intelligence

author list (cited authors)

  • Choi, H., & Hammond, T.

complete list of authors

  • Choi, H||Hammond, T

publication date

  • December 2008