Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Solution of large sparse linear fixed-point problems lies at the heart of many important performance analysis calculations. These calculations include steady-state, transient and...
We study self-organized cooperation in a heterogeneous robotic swarm consisting of two sub-swarms. The robots of each sub-swarm play distinct roles based on their different charac...
Frederick Ducatelle, Gianni A. Di Caro, Luca Maria...
Chilenski and Miller [1] claim that the error detection probability of a test set with full modified condition/decision coverage (MC/DC) on the system under test converges to 100%...