Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
Theory, algorithms, techniques and tools for producing a generalisation of a map have long been available. In this paper we study the inverse problem, namely, given two maps L and...
A stochastic formulation of the Analytic Hierarchy Process (AHP) using an approach based on Bayesian categorical data models has been developed. However, in categorical data model...
In this paper, we propose the utilization of a kd-tree based hierarchy as an implicit object representation. Compared to an octree, the kd-tree based hierarchy is superior in term...
Design changes are frequently encountered in the product development process. The complexity of the design changes is multiplied when the product design involves multiple engineer...