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		<identifier>6qtX3pFwXQZG2LgkFdY/Vh38P</identifier>
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		<citationkey>ElerNaPaSaOlNeMi:2008:MuViSu</citationkey>
		<title>Multidimensional visualization to support analysis of image collections</title>
		<shorttitle>Video</shorttitle>
		<format>On-line</format>
		<yearreleased>2008</yearreleased>
		<datereleased>12-15 Oct. 2008</datereleased>
		<numberoffiles>1</numberoffiles>
		<size>7375 KiB</size>
		<director>Eler, Danilo Medeiros,</director>
		<director>Nakazaki, Marcel Yugo,</director>
		<director>Paulovich, Fernando Vieira,</director>
		<director>Santos, Davi Pereira,</director>
		<director>Oliveira, Maria Cristina Ferreira de,</director>
		<director>Neto, João do Espírito Santo Batista,</director>
		<director>Minghim, Rosane,</director>
		<affiliation>ICMC / University of São Paulo</affiliation>
		<affiliation>ICMC / University of São Paulo</affiliation>
		<affiliation>ICMC / University of São Paulo</affiliation>
		<affiliation>ICMC / University of São Paulo</affiliation>
		<affiliation>ICMC / University of São Paulo</affiliation>
		<affiliation>ICMC / University of São Paulo</affiliation>
		<affiliation>ICMC / University of São Paulo</affiliation>
		<seriestitle>Brazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)</seriestitle>
		<transferableflag>1</transferableflag>
		<keywords>Biomedical Imaging and Visualization, Image Analysis, Visual Data Mining.</keywords>
		<synopsis>Multidimensional Visualization techniques are invaluable tools for analysis of structured and unstructured data with variable dimensionality. This paper introduces a methodology and a software tool called PEx-Image  Projection Explorer for Image for analysis and exploration of image collections employing visualizations. The visual mappings proposed here are similarity-based multidimensional projections and point placements, which layout the data on a plane for visual exploration. The proposed approach supports various image analysis tasks such as feature selection and classification, improving data exploration capabilities. We also illustrate how it 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.</synopsis>
		<language>en</language>
		<targetfile>MLPclassificationAndFeaturesSelection.wmv</targetfile>
		<usergroup>danilome@gmail.com</usergroup>
		<visibility>shown</visibility>
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		<citingitemlist>sid.inpe.br/sibgrapi/2022/05.18.20.13 2</citingitemlist>
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		<username>danilome@gmail.com</username>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi@80/2008/08.26.18.49</url>
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