We introduce a new bias for rule learning systems. The bias only allows a rule learner to create a rule that predicts class membership if each test of the rule in isolation is pred...
Chemisty faces interesting problems with regard to internet-based information visualization, especially in the context of digital library documents with multimedia components. We ...
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Abstract In this paper will be investigated what constraints on the intrinsic parameters that are needed in order to reconstruct an unknown scene from a number of its projective im...
In this paper we propose a method to simulate human beings based on anatomy concepts. We believe that the closer our model is to reality, the better will be our results. Using thi...