Vectorization, i.e. raster–to–vector conversion, is a central part of graphics recognition problems. In this paper, we discuss the pros and the cons of basing one’s vectoriz...
Bayes nets are seeing increasing use in expert systems [2, 6], and structural equations models continue to be popular in many branches of the social sciences [1]. Both types of mod...
In this paper, we determine the complexity of propositional theory curbing. Theory Curbing is a nonmonotonic technique of common sense reasoning that is based on model minimality b...
Locomotion is of fundamental importance in understanding adaptive behavior. In this paper we present two case studies of robot locomotion that demonstrate how higher level of behav...
Although in most cases class initialization works as expected, some static fields may be read before being initialized, despite being initialized in their corresponding class init...