Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
In this paper, we propose a novel postprocessing approach for on-line handwriting recognition. Differing from the existing linguistic knowledge-based methods, we make use of domai...
Writing patterns is a very important task for leveraging knowledge within an organization or in the software engineering community as a whole. Patterns are more than text, diagram...