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Shape Based Information Visualization

Grant number: 11/18838-5
Support Opportunities:Scholarships in Brazil - Doctorate
Effective date (Start): April 01, 2012
Effective date (End): July 31, 2016
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Valor Concedido/Desembolsado (R$): 139,339.90 / 139,339.90
Amount includ. bound (R$): 212,365.74 / 212,365.74
Principal Investigator:Rosane Minghim
Grantee:Renato Rodrigues Oliveira da Silva
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):14/01692-6 - Shape-based visual analysis of multidimensional projections, BE.EP.DR

Abstract

This work aims at devolping new visual paradigms to improve efficiency and effectiveness of multidimensional data exploration. For such purpose we intend to combine algorithms of various areas associated to infovis, such as shape based image processing and multidimensional scaling. From this integration we intent to establish new forms of representation tha manage, at the same time to reflect information lost in the mapping process and alow interpretation of information in various levels, advaning the state of the art in large scale multidimensional visualization. This proposal will allow exploration of data sets in a set of continuous scales, of level of details, enphasizing structural patterns in a natural way to the users. The results shall be validated in the context of three applications: image, text and software visualization.

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DA SILVA, RENATO R. O.; PAIVA, JOSE GUSTAVO S.; TELLES, GUILHERME P.; ZAMPIERI, CARLOS E. A.; ROLLI, FABIO P.; MINGHIM, ROSANE. The Visual SuperTree: similarity-based multi-scale visualization. VISUAL COMPUTER, v. 35, n. 6-8, SI, p. 1067-1080, . (11/18838-5)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
SILVA, Renato Rodrigues Oliveira da. Visualizing multidimensional data similarities: improvements and applications. 2016. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.