We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
The paper describes a novel methodology to compute stable models in Answer Set Programming. The proposed approach relies on a bottom-up computation that does not require a prelimin...
LRR [3] is a rewriting system developed at the Computer Science Department of University of Houston. LRR has two subsystems: Smaran (for tabled rewriting), and TGR (for untabled re...
Frameworks such as J2EE are designed to simplify the process of developing enterprise applications by handling much of the complexity of concurrency, transaction, and persistence ...
Mukund Raghavachari, Darrell Reimer, Robert D. Joh...
A number of generalizations of answer set programming have been proposed in the literature to deal with vagueness, uncertainty, and partial rule satisfaction. We introduce a unifyi...
Jeroen Janssen, Steven Schockaert, Dirk Vermeir, M...