749 resultados para Music similarity


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The significance of the works by Venezuelan-born composer Paul Desenne lies in his unique compositional style that incorporates elements of Latin American folk, pop, and traditional music within the framework of the Western European tradition. His works, though easily classified as art music, nevertheless gain much of their emotional and referential meaning through this rich borrowing. This document focuses on three of Desenne’s flute pieces: the Solo Flute Sonata (2001), Gurrufío for flute orchestra (1997), and Guasa Macabra for flute and clarinet (2003). It provides an analysis of the three works, examining formal, structural, motivic, and rhythmic aspects. Scores and interviews with the composer have been employed as primary sources. Bibliographical material closely related to his music and other secondary sources support this analytical approach. This document also provides an introduction and stylistic discussion of Desenne’s other pieces that incorporate the flute. Chapter one consists of an introduction to Desenne’s life and general considerations of his musical style. Each of the following three chapters focuses on one the three aforementioned flute works, including information about the composition and premiere of each piece as well as analysis and an examination of its incorporation of traditional folk elements. The final chapter presents an introduction to and stylistic discussion of the other flute pieces by this composer. This study intends to provide a basic understanding of Desenne’s flute music, including general characteristics of his musical style, paving the way for further investigation of Desenne’s music, and flute music in particular.

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My session will cover how many young African Americans believe that Rap music and Hip Hop is more important and relevant today on college campuses than the Civil Rights movement, or learning about the great works'. But one must seriously question whether Rap music and/or the Hip Hop culture is more significant than the movement that gave most Americans in the United States a modicum of equally in our institutionally racist society.

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Mozart’s wind music occupies a rather small space in the overall scope of his compositional output, numbering a total of ten works. Yet when viewed in the larger context of Mozart’s life, the wind music was written over the span of nine years, encompassing a large period from his youth up to his last decade in Vienna. Ranging from the simple divertimenti (K. 166 and 186) through the Tafelmusik (K. 213, 240, 252, 253 and 270) and finally culminating in the three Serenades (K. 361, 375 and 388), the wind music demonstrates Mozart’s maturation in wind writing, and also serves to illustrate the evolution in his use of sonata forms.

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Music at the Fair!” gives the daily musical programs for The Trans-Mississippi and International Exposition, held in Omaha, Nebraska, June 1 through October 31, 1898. The Trans-Mississippi and International Exposition brought an unprecedented array of local, national, and international musical acts to Omaha, NE in 1898. This served to designate Omaha, "the gateway to the west" as a musical hub, as well as to incite musical excitement in the region. Some of the more popular acts featured were the Theodore Thomas Orchestra, the U.S. Marine Band, and the Apollo Club of Chicago. Many more groups and their musical programs can be found within the pages of this site. The “Music at the Fair!” website was created by Grace Carey, and last revised on May 19, 2006.It is the result of a two- year research grant funded by an Undergraduate Creative Activities and Research Experiences (UCARE) grant through the University of Nebraska at Lincoln. It is an extension of an ongoing project on music at the TME by Music Professor Peter Lefferts. The primary sources of information for the site are the following newspapers from June – November 1898: The Omaha Daily Bee, the Omaha Evening Bee, and the Omaha World Herald, and the the official programs of the fair located in the archives at the Omaha Public Library. I would like to thank the helpful staff at the Nebraska State Historical Society and the downtown branch of the Omaha Public Library. Site Creator: Grace Carey Project Advisor: Peter Lefferts, Professor of Music History at the University of Nebraska, Lincoln The linked “Document” is a flat PDF version of the interactive website. To download the fully interactive html version, click on the “Related file” to download the zipped folder. When unzipped, click on the file named “index” to enter the website.

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The classification of texts has become a major endeavor with so much electronic material available, for it is an essential task in several applications, including search engines and information retrieval. There are different ways to define similarity for grouping similar texts into clusters, as the concept of similarity may depend on the purpose of the task. For instance, in topic extraction similar texts mean those within the same semantic field, whereas in author recognition stylistic features should be considered. In this study, we introduce ways to classify texts employing concepts of complex networks, which may be able to capture syntactic, semantic and even pragmatic features. The interplay between various metrics of the complex networks is analyzed with three applications, namely identification of machine translation (MT) systems, evaluation of quality of machine translated texts and authorship recognition. We shall show that topological features of the networks representing texts can enhance the ability to identify MT systems in particular cases. For evaluating the quality of MT texts, on the other hand, high correlation was obtained with methods capable of capturing the semantics. This was expected because the golden standards used are themselves based on word co-occurrence. Notwithstanding, the Katz similarity, which involves semantic and structure in the comparison of texts, achieved the highest correlation with the NIST measurement, indicating that in some cases the combination of both approaches can improve the ability to quantify quality in MT. In authorship recognition, again the topological features were relevant in some contexts, though for the books and authors analyzed good results were obtained with semantic features as well. Because hybrid approaches encompassing semantic and topological features have not been extensively used, we believe that the methodology proposed here may be useful to enhance text classification considerably, as it combines well-established strategies. (c) 2012 Elsevier B.V. All rights reserved.

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We examined the effects of listening to music on attentional focus, rating of perceived exertion (RPE), pacing strategy and performance during a simulated 5-km running race. 15 participants performed 2 controlled trials to establish their best baseline time, followed by 2 counterbalanced experimental trials during which they listened to music during the first (M-start) or the last (M-finish) 1.5 km. The mean running velocity during the first 1.5 km was significantly higher in M-start than in the fastest control condition (p < 0.05), but there was no difference in velocity between conditions during the last 1.5 km (p > 0.05). The faster first 1.5 m in M-start was accompanied by a reduction in associative thoughts compared with the fastest control condition. There were no significant differences in RPE between conditions (p > 0.05). These results suggest that listening to music at the beginning of a trial may draw the attentional focus away from internal sensations of fatigue to thoughts about the external environment. However, along with the reduction in associative thoughts and the increase in running velocity while listening to music, the RPE increased linearly and similarly under all conditions, suggesting that the change in velocity throughout the race may be to maintain the same rate of RPE increase.

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The ability to discriminate nestmates from non-nestmates in insect societies is essential to protect colonies from conspecific invaders. The acceptance threshold hypothesis predicts that organisms whose recognition systems classify recipients without errors should optimize the balance between acceptance and rejection. In this process, cuticular hydrocarbons play an important role as cues of recognition in social insects. The aims of this study were to determine whether guards exhibit a restrictive level of rejection towards chemically distinct individuals, becoming more permissive during the encounters with either nestmate or non-nestmate individuals bearing chemically similar profiles. The study demonstrates that Melipona asilvai (Hymenoptera: Apidae: Meliponini) guards exhibit a flexible system of nestmate recognition according to the degree of chemical similarity between the incoming forager and its own cuticular hydrocarbons profile. Guards became less restrictive in their acceptance rates when they encounter non-nestmates with highly similar chemical profiles, which they probably mistake for nestmates, hence broadening their acceptance level.

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The development of new statistical and computational methods is increasingly making it possible to bridge the gap between hard sciences and humanities. In this study, we propose an approach based on a quantitative evaluation of attributes of objects in fields of humanities, from which concepts such as dialectics and opposition are formally defined mathematically. As case studies, we analyzed the temporal evolution of classical music and philosophy by obtaining data for 8 features characterizing the corresponding fields for 7 well-known composers and philosophers, which were treated with multivariate statistics and pattern recognition methods. A bootstrap method was applied to avoid statistical bias caused by the small sample data set, with which hundreds of artificial composers and philosophers were generated, influenced by the 7 names originally chosen. Upon defining indices for opposition, skewness and counter-dialectics, we confirmed the intuitive analysis of historians in that classical music evolved according to a master apprentice tradition, while in philosophy changes were driven by opposition. Though these case studies were meant only to show the possibility of treating phenomena in humanities quantitatively, including a quantitative measure of concepts such as dialectics and opposition, the results are encouraging for further application of the approach presented here to many other areas, since it is entirely generic.

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HTLV-1 is endemic in Brazil and HIV/ HTLV-1 coinfection has been detected, mostly in the northeast region. Cosmopolitan HTLV-1a is the main subtype that circulates in Brazil. This study characterized 17 HTLV-1 isolates from HIV coinfected patients of southern (n = 7) and southeastern (n = 10) Brazil. HTLV-1 provirus DNA was amplified by nested PCR (env and LTR) and sequenced. Env sequences (705 bp) from 15 isolates and LTR sequences (731 bp) from 17 isolates showed 99.5% and 98.8% similarity among sequences, respectively. Comparing these sequences with ATK (HTLV-1a) and Mel5 (HTLV-1c) prototypes, similarities of 99% and 97.4%, respectively, for env and LTR with ATK, and 91.6% and 90.3% with Mel5, were detected. Phylogenetic analysis showed that all sequences belonged to the transcontinental subgroup A of the Cosmopolitan subtype, clustering in two Latin American clusters.

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In this paper, we present a novel approach to perform similarity queries over medical images, maintaining the semantics of a given query posted by the user. Content-based image retrieval systems relying on relevance feedback techniques usually request the users to label relevant/irrelevant images. Thus, we present a highly effective strategy to survey user profiles, taking advantage of such labeling to implicitly gather the user perceptual similarity. The profiles maintain the settings desired for each user, allowing tuning of the similarity assessment, which encompasses the dynamic change of the distance function employed through an interactive process. Experiments on medical images show that the method is effective and can improve the decision making process during analysis.

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[EN]This work makes an extensive experimental study of smile detection testing the Local Binary Patterns (LBP) combined with self similarity (LAC) as main descriptors of the image, along with the powerful Support Vector Machines classifier. Results show that error rates can be acceptable and the self similarity approach for the detection of smiles is suitable for real-time interaction, although there is still room for improvement.