998 resultados para Applied statistics


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We present a new technique for audio signal comparison based on tonal subsequence alignment and its application to detect cover versions (i.e., different performances of the same underlying musical piece). Cover song identification is a task whose popularity has increased in the Music Information Retrieval (MIR) community along in the past, as it provides a direct and objective way to evaluate music similarity algorithms.This article first presents a series of experiments carried outwith two state-of-the-art methods for cover song identification.We have studied several components of these (such as chroma resolution and similarity, transposition, beat tracking or Dynamic Time Warping constraints), in order to discover which characteristics would be desirable for a competitive cover song identifier. After analyzing many cross-validated results, the importance of these characteristics is discussed, and the best-performing ones are finally applied to the newly proposed method. Multipleevaluations of this one confirm a large increase in identificationaccuracy when comparing it with alternative state-of-the-artapproaches.

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We propose an edge detector based on the selection of wellcontrasted pieces of level lines, following the proposal ofDesolneux-Moisan-Morel (DMM) [1]. The DMM edge detectorhas the problem of over-representation, that is, everyedge is detected several times in slightly different positions.In this paper we propose two modifications of the originalDMM edge detector in order to solve this problem. The firstmodification is a post-processing of the output using a generalmethod to select the best representative of a bundle of curves.The second modification is the use of Canny’s edge detectorinstead of the norm of the gradient to build the statistics. Thetwo modifications are independent and can be applied separately.Elementary reasoning and some experiments showthat the best results are obtained when both modifications areapplied together.

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In this article we present a hybrid approach for automatic summarization of Spanish medical texts. There are a lot of systems for automatic summarization using statistics or linguistics, but only a few of them combining both techniques. Our idea is that to reach a good summary we need to use linguistic aspects of texts, but as well we should benefit of the advantages of statistical techniques. We have integrated the Cortex (Vector Space Model) and Enertex (statistical physics) systems coupled with the Yate term extractor, and the Disicosum system (linguistics). We have compared these systems and afterwards we have integrated them in a hybrid approach. Finally, we have applied this hybrid system over a corpora of medical articles and we have evaluated their performances obtaining good results.

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This publication is an historical recording of the most requested statistics on vital events and is a source of information that can be used in further analysis.

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This publication is an historical recording of the most requested statistics on vital events and is a source of information that can be used in further analysis.

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This publication is an historical recording of the most requested statistics on vital events and is a source of information that can be used in further analysis.

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This publication is an historical recording of the most requested statistics on vital events and is a source of information that can be used in further analysis.

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This publication is an historical recording of the most requested statistics on vital events and is a source of information that can be used in further analysis.

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This publication is an historical recording of the most requested statistics on vital events and is a source of information that can be used in further analysis.

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This publication is an historical recording of the most requested statistics on vital events and is a source of information that can be used in further analysis.

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This publication is an historical recording of the most requested statistics on vital events and is a source of information that can be used in further analysis.

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The pocket digest for public library statistics highlights pertinent information about public libraries in Iowa.

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The pocket digest for public library statistics highlights pertinent information about public libraries in Iowa.

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The pocket digest for public library statistics highlights pertinent information about public libraries in Iowa.