- Research Grants
bachelor's at Ciência da Computação from Universidade Estadual de Maringá (1996), master's at Production Engineering from Universidade Federal de Santa Catarina (1999) and doctorate at Electric Engineering from Universidade Estadual de Campinas (2006). Has experience in Computer Science, acting on the following subjects: análise de gestos, libras - língua brasileira de sinais, reconhecimento de padrões, redes neurais artificiais and banco de dados. (Source: Lattes Curriculum)
Recently, Kernel-based learning algorithms have been applied to complex pattern recognition problems, presenting good results. In several works, these algorithms are applied to spatiotemporal pattern recognition problems, such as gesture and movement recognition. However, most of these works only extract spatiotemporal features and include them in a vector representation of the data, in...
Process models are essential tools for achieving success in business management in organizations. However, owing to cultural reasons or a lack of adequate human and material resources, it is common for organizations not to formalize these models and they are thus sometimes unaware of the actual process they are carrying out in day--to--day operations. In view of this, process mining pla...
(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)
|Data from Web of Science|
(References retrieved automatically from State of São Paulo Research Institutions)
MADEO, Renata Cristina Barros. Máquinas de Vetores Suporte e a Análise de Gestos: incorporando aspectos temporais. Dissertação (Mestrado) - Escola de Artes, Ciências e Humanidades. Universidade de São Paulo (USP). São Paulo. (11/04608-8)