—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
Abstract—Test coverage such as branch coverage is commonly measured to assess the sufficiency of test inputs. To reduce tedious manual efforts in generating high-covering test i...
Nuo Li, Tao Xie, Nikolai Tillmann, Jonathan de Hal...
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
A common problem in most active contour methods is that the recursive searching scheme can only return a local optimal solution. Furthermore, the internal energy of the snake is n...
This paper presents Classages, a novel interaction-centric object-oriented language. Classes and objects in Classages are fully encapsulated, with explicit interfaces for all inte...