In recent work, we introduced a generalization of ECOC learning under the theory of recursive error correcting codes. We named it RECOC (Recursive ECOC) learning. If long output codewords are allowed, as in the case o...
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The central challenge in resource constrained systems is indeed that there is often a dramatic problem of resources: little memory, no display (i.e., mediated control and interaction), and weak processors. These const...
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Multi-agent approaches can be applied to model behaviour and relations of entities in cyber-physical systems. Here entities frequently compete on insufficient resources (e.g., hardware) at the same time. Hence, resour...
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Inspired by the visual system of the fruit fly, we had created a generic building block for neuromorphic hardware that is vital for third generation neural networks. This enables time delay to be parametrized in a che...
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This paper presents the results of Augmented Reality (AR) implementation as a part of an interactive user guide. As an example, there is considered a software solution for a robot constructor that can be deployed on a...
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A particular problem in using artificial intelligence techniques in the sensor grid is the high power consumption. Remote sensors are usually limited by the amount of power available, thus our general goal is to minim...
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Recent developments in the theory of artificial intelligence and the advent of the expert systems made it possible to actually produce intelligent systems for computer-aided learning (CAL). A major component of such a...
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Online resources, large data repositories and streaming social network messages embed plenitudes of interesting knowledge, often of associative nature. A specific communicative context, such as the political debate in...
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