Heeyoul Choi, Tracy Hammond
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.
Subjects: 6.3 User Interfaces; 12. Machine Learning and Discovery
Submitted: Apr 7, 2008