Joaquín Castellanos

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We prove that any recursively enumerable set can be generated by networks with evolutionary processors where the rules can be applied at an arbitrarily chosen position, the control is done by finite automata with at most three states, and the rule sets are singletons or the underlying graph is a complete graph. If one allows arbitrary underlying graphs,(More)
This paper describes an automatic parameter optimization method for anisotropic diffusion filters used to de-noise 2D and 3D MR images. The filtering process is integrated into a closed-loop system where image improvement is monitored indirectly by comparing the characteristics of the suppressed noise with those of the assumed noise model at the optimal(More)
This paper presents the evolution of connectionist systems that leads into the so called networks of evolutionary processors (NEPs) and it also shows a general approach to add a learning stage in NEPs. These networks have been proven to be universal models that solve NP-problems in linear time. Most usual disadvantage is that a given NEP only can solve a(More)
In this paper we simplify accepting networks of splicing processors considered in the paper by Manea et al. by moving the filters from the nodes to the edges. Each edge is viewed as a two-way channel such that input and output filters coincide. Thus, the possibility of controlling the computation in such networks is drastically diminished. In spite of this(More)
971 [4] B. Schiele and J. Crowley, " A comparison of position estimation techniques using occupancy grids, " IEEE Trans. [5] J. Crowley, " World modeling and position estimation for a mobile robot using ultrasonic ranging, " in Proc. The smap: A prob-abilistic framework for simultaneous localization and map building, " IEEE Trans. Mobile robot localization(More)
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