The dynamics of globally coupled map lattices can be described in terms of a nonlinear Frobenius–Perron equation in the limit of large system size. This approach allows for an analytical computation of stationary states and their stability. The complete bifurcation behaviour of coupled tent maps near the chaotic band merging point is presented. Furthermore the time independent states of coupled...

We propose a two-stage hierarchical arti®cial neural network for the segmentation of color images based on the Kohonen self-organizing map (SOM). The ®rst stage of the network employs a ®xed-size two-dimensional feature map that captures the dominant colors of an image in an unsupervised mode. The second stage combines a variable-sized one-dimensional feature map and color merging to control th...

The task of mapping and exploring an unknown environment remains one of the fundamental problems of mobile robotics. It is a task that can intuitively benefit significantly from a multi-robot approach. In this paper, we describe the design of the multi-robot mapping system used in the Jacobs Virtual Rescue team. The team competed in the World Cup 2007 and won the second place. It is shown how t...

If Topic Maps should be exchanged in distributed environments a common semantic problem occurs: Do two Topics refer to the same Subject? If they describe the same Subject the given Topics have to be treated as one unit in the given context. Especially in integration scenarios this might be important. Within the Topic Map theory the merging paradigm and the description of Subjects of discourse i...

This paper presents a region merging process controlled by topological features on regions in 3D images. Betti numbers, a well-known topological invariant, are used as criteria. Classical and incremental algorithms to compute Betti numbers using information represented by the topological map of an image are provided. The region merging algorithm, which merges of any number of connected componen...

Learning sciences needs quantitative methods for comparing alternative theories of what students are learning. This study investigated the accuracy of a learning map and its utility to predict student responses. Our data included a learning map detailing a hierarchical prerequisite skill graph and student responses to questions developed specifically to assess the concepts and skills represente...

PURPOSE To add mathematical rigor to the merging phase of the recently published two-stage VMAT optimization method called VMERGE. Using an exact merging method, we are able to better characterize the tradeoff between delivery efficiency and dose quality. METHODS VMERGE begins with an IMRT plan that uses 180 equi-spaced beams and yields the "ideal" dose. Neighboring fluence maps are successiv...

We developed a system that allows for the real-time data processing and command of a low-cost multi-robot setup that maps out an unknown environment. The objective is to localize the robot relative to its surroundings. To do so, we explore various robotic and computer vision techniques such as SLAM, network computing, map merging, and dense 3D reconstruction.

A method for inductive learning of primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns by a segmentation method based on genetic algorithm. Merging is applied to selected primitive candidates to filter out their redundancy as similarity and inclusion. Experimental results with map figures are shown.