The possibility of building self-aware software fascinated computer scientist since the beginning of computer science. Research in AI, and in particular on software agents, agent s...
In this paper, we develop methods to rapidly remove rough features from irregularly triangulated data intended to portray a smooth surface. The main task is to remove undesirable ...
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
—Most of the development of pose recognition focused on a single person. However, many applications of computer vision essentially require the estimation of multiple people. Henc...
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...