Sketch recognition based on manifold learning
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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.
Proceedings of the National Conference on Artificial Intelligence
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