Control flow semantics
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
A characterization of partial metrizability: domains are quantifiable
Theoretical Computer Science - Topology in computer science
The correspondence between partial metrics and semivaluations
Theoretical Computer Science - Mathematical foundations of programming semantics
Efficient Genetic Algorithm Based Data Mining Using Feature Selection with Hausdorff Distance
Information Technology and Management
Partial metrisability of continuous posets
Mathematical Structures in Computer Science
On the structure of the space of complexity partial functions
International Journal of Computer Mathematics - Recent Advances in Computational and Applied Mathematics in Science and Engineering
Image and Vision Computing
A new Hausdorff distance for image matching
Pattern Recognition Letters
Generalized Distance Functions in the Theory of Computation
The Computer Journal
Hi-index | 0.98 |
It is well known that both weightable quasi-metrics and the Hausdorff distance provide efficient tools in several areas of Computer Science. This fact suggests, in a natural way, the problem of when the upper and lower Hausdorff quasi-pseudo-metrics of a weightable quasi-metric space (X,d) are weightable. Here we discuss this problem. Although the answer is negative in general, we show, however, that it is positive for several nice classes of (nonempty) subsets of X. Since the construction of these classes depends, to a large degree, on the specialization order of the quasi-metric d, we are able to apply our results to some distinguished quasi-metric models that appear in theoretical computer science and information theory, like the domain of words, the interval domain and the complexity space.