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Titlebook: Nature Inspired Problem-Solving Methods in Knowledge Engineering; Second International José Mira,José R. álvarez Conference proceedings 200

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發(fā)表于 2025-3-23 10:49:22 | 只看該作者
Elia Ferrando Juliá,Daniel Ruiz Fernández,Antonio Soriano Payáut the “holy grail” of 3D mapping systems from a data interpretation point of view (in the context of our application scenario), the resultant system architecture would need to comprise a big list of geometric and learning steps, where the output of a step requires the input of another, and so on.
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發(fā)表于 2025-3-24 02:24:14 | 只看該作者
Alexandre Bur,Heinz Hüglile for communicating. This prevents the use of a centralised mediator or facilitator which could reconcile the ontological differences. The use of argumentation allows two agents to iteratively explore candidate correspondences within a matching process, through a series of proposals and counter pro
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發(fā)表于 2025-3-24 08:14:27 | 只看該作者
José Mira,Ana E. Delgado,Antonio Fernández-Caballero,María T. López,Miguel A. Fernándezenarios of multimodal interaction to realize the precondition part called ., and the post condition part called .. In the aim to solve the above problem, we have designed a new architecture using semantic agents and services. We propose in this chapter, simple and efficient components to any multimo
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發(fā)表于 2025-3-24 21:02:57 | 只看該作者
Santiago González-Benítez,Rafael Verdú-Monedero,Rafael Berenguer-Vidal,Pedro García-Laencinals. By studying and classifying these words we can categorize and understand the various behaviours. The main advantage of this approach lies in the simplicity of the scene and motion descriptions so that the behaviour analysis will have limited computational complexity due to the intrinsic nature b
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發(fā)表于 2025-3-25 01:52:26 | 只看該作者
Improved Likelihood Ratio Test Detector Using a Jointly Gaussian Probability Distribution Function,recognition, does not represent a serious implementation obstacle. An analysis of the methodology for a pair-wise observation dependence shows the improved robustness of the proposed approach by means of a clear reduction of the classification error as the number of observations is increased. The pr
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