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Nina Sumiko Tomita Hirata

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

holds a BSc., MSc and PhD degrees in Computer Science from Universidade de São Paulo (1989, 1996, 2000, respectively). She has joined de Department of Computer Science of IME/USP in 2001, where she is currently an associate professor. Her main research interests include pattern recognition, machine learning, image processing and analyis, specially the application of machine learning technique in image analysis. (Source: Lattes Curriculum)

Research grants
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FAPESP support in numbers * Updated October 12, 2019
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Use this Research Supported by FAPESP (BV/FAPESP) channel only to send messages referring to FAPESP-funded scientific projects.


 

 

 

 

Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (6)

(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)

Publications4
Citations31
Cit./Article7.8
Data from Web of Science

HIRATA‚ N.S.T.; DOUGHERTY‚ E.R.; BARRERA‚ J.. Iterative design of morphological binary image operators. Optical Engineering, v. 39, p. 3106, .

HIRATA, NINA S. T.; JULCA-AGUILAR, FRANK D.. Matching based ground-truth annotation for online handwritten mathematical expressions. PATTERN RECOGNITION, v. 48, n. 3, p. 837-848, . Web of Science Citations: 4. (13/13535-0, 12/08389-1)

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)

HIRATA, NINA S. T.. Multilevel Training of Binary Morphological Operators. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v. 31, n. 4, p. 707-720, . Web of Science Citations: 16.

HIRATA‚ N.S.T.; DOUGHERTY‚ E.R.; BARRERA‚ J.. Iterative design of morphological binary image operators. Optical Engineering, v. 39, n. 12, p. 3106-3123, .

Academic Publications

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

KLAVA, Bruno. Redução no esforço de interação em segmentação de imagens digitais através de aprendizagem computacional. 2014. Tese (Doutorado) – Instituto de Matemática e Estatística. Universidade de São Paulo (USP). São Paulo. (09/16852-0)

AGUILAR, Frank Dennis Julca. Reconhecimento online de expressões matemáticas manuscritas usando informação contextual. 2016. Tese (Doutorado) – Instituto de Matemática e Estatística. Universidade de São Paulo (USP). São Paulo. (12/08389-1)

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