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Titlebook: Advances in Soft Computing; 9th Mexican Internat Grigori Sidorov,Arturo Hernández Aguirre,Carlos Al Conference proceedings 2010 Springer Be

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Real Time Tracking of Musical Performancesr singers, and automatic adding of special effects in live presentations..State of the art approaches make a local alignment of the score (the target audio) and a musical performance, such procedure induce cumulative error since it assumes the rendition to be well tracked up to the current time. We
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Recognizing Dactylogical Symbols with Image Segmentation and a New Differentiated Weighting Schemed weighting scheme on them. As an application example, we use a set of digital images that represent the various symbols contained in the dactylogical alphabet. First we introduce the reader to the many pre-processing and segmentation techniques applied to the set of images. Later on, we describe th
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Recognizing Textual Entailment Using a Machine Learning Approacho classify the entailment pairs we use a symmetric similarity measure and a non-symmetric similarity measure. Our system achieved an accuracy of 66% on the RTE-3 development dataset (with 10-fold cross validation) and accuracy of 63% on the RTE-3 test dataset.
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CBR and Neural Networks Based Technique for Predictive Prefetching page faults. Plenty of techniques are available to devise strong prediction mechanism for prefetching but they either are situation specific (Locality of reference principle) or inadaptable (Markovian model) and costly. We have proposed a generic and adaptable technique benefiting from past experie
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Grigori Sidorov,Arturo Hernández Aguirre,Carlos AlState-of-the-art research.Fast-track conference proceedings.Unique visibility
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