We tested the efficiency of category learning when participants are provided only with pairs of objects, known to belong either to the same class (Positive Equivalence Constraints ...
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
—Cast shadows can be significant in many computer vision applications, such as lighting-insensitive recognition and surface reconstruction. Nevertheless, most algorithms neglect ...
Ravi Ramamoorthi, Melissa L. Koudelka, Peter N. Be...
Having to cope with memory limitations is an ubiquitous issue in heuristic search. We present theoretical and practical results on new variants for exploring state-space with respe...
Ahybrid automatonis a formalmodelfor a mixeddiscrete-continuous system. We classify hybrid automata acoording to what questions about their behavior can be answered algorithmically...