HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
This paper proposes a new generic object recognition system based on multi-scale affineinvariant image regions. Image segments are obtained by a watershed transform of the princip...
Wei Zhang, Hongli Deng, Thomas G. Dietterich, Eric...
This paper proposes a novel method for detecting nonconforming trajectories of objects as they pass through a scene. Existing methods mostly use spatial features to solve this pro...
DVD menus often miss out on usability and are complex and difficult to navigate through. One of the main problems is the lack of design standards. By conducting an expert walkthro...
We study the performance issue of the “iterative” record linkage (RL) problem, where match and merge operations may occur together in iterations until convergence emerges. We ...