It is shown that structural similarity between proteins can be decided well with much less information than what is used in common similarity measures. The full C representation c...
Abstract. Extracting information automatically from texts for database representation requires previously well-grouped phrases so that entities can be separated adequately. This pr...
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
This paper describes how a visual system can automatically define features of interest from the observation of a large enough number of natural images. The principle complements t...
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...