Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jesús A. Gonzalez-Bernal"'
Autor:
Hugo Jair Escalante-Balderas, Carlos A. Reyes-García, Angel Díaz-Pacheco, Jesús A. Gonzalez-Bernal
Publikováno v:
Advances in Soft Computing ISBN: 9783030028367
MICAI (1)
MICAI (1)
The increasingly larger quantities of information generated in the world over the last few years, has led to the emergence of the paradigm known as Big Data. The analysis of those vast quantities of data has become an important task in science and bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b47dca75f9b12f1c50435aab3fdd6d9e
https://doi.org/10.1007/978-3-030-02837-4_23
https://doi.org/10.1007/978-3-030-02837-4_23
Autor:
Vladimir N. Uversky, Miguel Arias-Estrada, Marili Leopold-Sordo, Thomas Buhse, Jorge Alberto Castañón-González, Jesús A. Gonzalez-Bernal, José Lino Samaniego, Alicia Morales-Reyes, Lourdes Tavera-Sierra, Carlos Polanco, Alejandro Madero-Arteaga
Publikováno v:
Acta biochimica Polonica. 62(1)
There is a natural protein form, insoluble and resistant to proteolysis, adopted by many proteins independently of their amino acid sequences via specific misfolding-aggregation process. This dynamic process occurs in parallel with or as an alternati
Autor:
Juan Manuel Ramirez-Cortes, Jesús A. Gonzalez-Bernal, Vicente Alarcon-Aquino, Pilar Gomez-Gil, Angel Garcia-Pedrero
Publikováno v:
Soft Computing for Recognition Based on Biometrics ISBN: 9783642151101
Soft Computing for Recognition Based on Biometrics
Soft Computing for Recognition Based on Biometrics
In this paper we present the morphological operator pecstrum, or pattern spectrum, as a feature extractor of discriminating characteristics in microscopic leukocytes images for classification purposes. Pecstrum provides an excellent quantitative anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7680956b41b6d08fbb3a370f6e94046
https://doi.org/10.1007/978-3-642-15111-8_2
https://doi.org/10.1007/978-3-642-15111-8_2
Autor:
César I. Prieto-Castro, A.G. Pedrero, D. Valencia, Jesús A. Gonzalez-Bernal, Pilar Gomez-Gil, J.E. Alonso, R. Lobato, Manuel Ramírez-Cortés
Publikováno v:
2008 Seventh Mexican International Conference on Artificial Intelligence.
In this paper we present preliminary results obtained from the application of morphological operator pecstrum, for the extraction of discriminating characteristics in leukocytes and similar artificial images. Experts have identified six categories of