Multiple instance learning (MIL) is concerned with learning from sets (bags) of objects
(instances), where the individual instance labels are ambiguous. In this setting, supervised …

Recognition is the fundamental task of visual cognition, yet how to formalize the general
recognition problem for computer vision remains an open issue. The problem is sometimes …

A widely used approach to cope with asymmetry in dissimilarities is by symmetrizing them.
Usually, asymmetry is corrected by applying combiners such as average, minimum or …

Both humans and machines are able to learn from examples. In humans this happens
naturally: repeated experiences lead to associations of input from the senses, to certain …

Este trabajo aborda el problema del reconocimiento automá tico de objetos a partir de una
representación computacional de los mismos, el cual se enmarca en el campo de …