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Roberto Hirata Junior

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Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

graduate at Bacharelado Em Física from Universidade de São Paulo (1990), graduate at Licenciatura Em Matemática from Universidade de São Paulo (1990), master's at Computer Science from Universidade de São Paulo (1997) and ph.d. at Computer Science from Universidade de São Paulo (2001). Has experience in Computer Science, focusing on Graphical Processing (Graphics), acting on the following subjects: morfologia matemática, aprendizado computacional, processamento de imagens, projeto de operadores and microarray. (Source: Lattes Curriculum)

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FAPESP support in numbers * Updated October 12, 2019
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Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (2)

(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)

Publications2
Citations11
Cit./Article5.5
Data from Web of Science

MONTAGNER, IGOR S.; HIRATA, NINA S. T.; HIRATA, JR., ROBERTO. Staff removal using image operator learning. PATTERN RECOGNITION, v. 63, p. 310-320, . Web of Science Citations: 3. (15/17741-9, 14/21692-0, 11/23310-0, 11/00325-1)

SANTOS, CARLOS S.; HIRATA, NINA S. T.; HIRATA, ROBERTO. An Information Theory framework for two-stage binary image operator design. PATTERN RECOGNITION LETTERS, v. 31, n. 4, SI, p. 297-306, . Web of Science Citations: 8. (05/04614-7)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SANTOS, Carlos da Silva dos. Construção de atributos binários baseada em análise de interações. 2010. Tese (Doutorado) – Instituto de Matemática e Estatística. Universidade de São Paulo (USP). São Paulo. (05/04614-7)

LEITE, Talita Perciano Costa. Detecção de estruturas finas e ramificadas em imagens usando campos aleatórios de Markov e informação perceptual. 2012. Tese (Doutorado) – Instituto de Matemática e Estatística. Universidade de São Paulo (USP). São Paulo. (08/06081-4)

MONTAGNER, Igor dos Santos. Aprendizado de w-operadores usando modelos lineares para imagens binárias e em níveis de cinza. 2017. Tese (Doutorado) – Instituto de Matemática e Estatística. Universidade de São Paulo (USP). São Paulo. (11/23310-0)

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