This paper describes algorithms and software developed to characterise and detect generic intelligent language-like features iu an input signal, using Natural Language Learning te...
We show that histograms of keypoint descriptor distances can make useful features for visual recognition. Descriptor distances are often exhaustively computed between sets of keyp...
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
Both our visual and haptic systems contribute to the perception of the three dimensional world, especially the proximal perception of objects. The interaction of these systems has...
Despite recent advances in uncovering the quantitative features of stationary human activity patterns, many applications, from pandemic prediction to emergency response, require a...