We introduce a shape descriptor that is based on the Symmetry Set. This set represents pairwise symmetric points and consists of several branches. The begin and end points of the ...
Arjan Kuijper, Ole Fogh Olsen, Philip Bille, Peter...
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
Abstract. We propose a symbolic algorithm to accurately predict atomicity violations by analyzing a concrete execution trace of a concurrent program. We use both the execution trac...
Chao Wang, Rhishikesh Limaye, Malay K. Ganai, Aart...