926 resultados para Fonthill -- Literary collections


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This introduction lays out the scholarly and methodological context where to situate the contributions to this special issue. By combining a rigorous scrutiny of hitherto untapped archival sources with a re-examined application of Pierre Bourdieu’s sociology of culture within the field of periodical studies and publishing history in Italy (1940s-1950s), the studies illuminate the complex ways in which journals, periodical editors, and the connected publishing houses negotiate cultural practice in a literary field increasingly dominated by the polarization of political discourse.

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Dublin, Trinity College MS 667 (olim F 5 3) is something of a meeting point of languages and traditions, representing one of the most significant witnesses to Latin exemplars for vernacular translations to survive from medieval Ireland. What is more, the translated texts appear to travel in groups, with several Irish-language manuscripts bearing close comparison to Trinity 667 in the texts and versions of texts they contain. Examining these texts and the contexts in which they circulated in Irish can give us a sense of the sorts of historical and cultural currents to which such translation work appears to have been responding.

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Multidimensional Visualization techniques are invaluable tools for analysis of structured and unstructured data with variable dimensionality. This paper introduces PEx-Image-Projection Explorer for Images-a tool aimed at supporting analysis of image collections. The tool supports a methodology that employs interactive visualizations to aid user-driven feature detection and classification tasks, thus offering improved analysis and exploration capabilities. The visual mappings employ similarity-based multidimensional projections and point placement to layout the data on a plane for visual exploration. In addition to its application to image databases, we also illustrate how the proposed approach can be successfully employed in simultaneous analysis of different data types, such as text and images, offering a common visual representation for data expressed in different modalities.

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Point placement strategies aim at mapping data points represented in higher dimensions to bi-dimensional spaces and are frequently used to visualize relationships amongst data instances. They have been valuable tools for analysis and exploration of data sets of various kinds. Many conventional techniques, however, do not behave well when the number of dimensions is high, such as in the case of documents collections. Later approaches handle that shortcoming, but may cause too much clutter to allow flexible exploration to take place. In this work we present a novel hierarchical point placement technique that is capable of dealing with these problems. While good grouping and separation of data with high similarity is maintained without increasing computation cost, its hierarchical structure lends itself both to exploration in various levels of detail and to handling data in subsets, improving analysis capability and also allowing manipulation of larger data sets.