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. ...
This paper presents an experiment in speech recognition whereby multiple phoneme recognisers are applied to the same utterance. When these recognisers agree on an hypothesis for th...
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with applying a threshold to the power spectral dens...
This paper presents an orientation operator to extract image local orientation features. We show that a proper employment of image integration leads to an unbiased orientation est...
In the context of computer-assisted plant identification we are facing challenging information retrieval problems because of the very high within-class variability and of the lim...