This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
Understanding conceptual change is an important problem in modeling human cognition and in making integrated AI systems that can learn autonomously. This paper describes a model o...
Many applications require detecting structural changes in a scene over a period of time. Comparing intensity values of successive images is not effective as such changes don'...
Since the precise modeling of reflection is a difficult task, most feature points trackers assume that objects are lambertian and that no lighting change occurs. To some extent, a ...
The de Bruijn digraph B(d, D) has degree d, diameter D, dD vertices and dD+1 arcs. It is usually defined by words of size D on an alphabet of cardinality d, through a cyclic left ...