Recently spatio-temporal local features have been proposed as image features to recognize events or human actions in videos. In this paper, we propose yet another local spatio-temp...
A feature extraction system based on artificial life concepts is presented. The system provides automatic character feature extraction through the local actions of autonomous feat...
Abstract. The Scale Invariant Feature Transform (SIFT) has become a popular feature extractor for vision-based applications. It has been successfully applied to metric localization...
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...