Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Omar Zatarain"'
Autor:
Omar Zatarain, Jesse Yoe Rumbo-Morales, Silvia Ramos-Cabral, Gerardo Ortíz-Torres, Felipe d. J. Sorcia-Vázquez, Iván Guillén-Escamilla, Juan Carlos Mixteco-Sánchez
Publikováno v:
Mathematics, Vol 11, Iss 12, p 2700 (2023)
This research proposes a method for the detection of semantic similarities in text snippets; the method achieves an unsupervised extraction and comparison of semantic information by mimicking skills for the identification of clauses and possible verb
Externí odkaz:
https://doaj.org/article/92c5b726cd72428aba79b5b69b6a287e
Autor:
Mixteco-Sánchez, Omar Zatarain, Jesse Yoe Rumbo-Morales, Silvia Ramos-Cabral, Gerardo Ortíz-Torres, Felipe d. J. Sorcia-Vázquez, Iván Guillén-Escamilla, Juan Carlos
Publikováno v:
Mathematics; Volume 11; Issue 12; Pages: 2700
This research proposes a method for the detection of semantic similarities in text snippets; the method achieves an unsupervised extraction and comparison of semantic information by mimicking skills for the identification of clauses and possible verb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::4665090719ddaf190fb9adf500ec1218
Autor:
Omar Zatarain, Efren Plascencia JR, Walter Abraham Bernal Diaz, Silvia Ramos Cabral, Miguel De la Torre, Rodolfo Omar Dominguez Garcia, Juan Carlos Gonzalez Castolo, Miriam A. Carlos Mancilla
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031203213
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1cfe8eff600be1f38b2edb969bc99b2
https://doi.org/10.1007/978-3-031-20322-0_5
https://doi.org/10.1007/978-3-031-20322-0_5
Autor:
Andrei Dmitri Gavrilov, Omar Zatarain Duran, Fatema Tuz Zohra, Sanjida Nasreen Tumpa, Marina L. Gavrilova
Over past decade, behavioral biometric systems based on face recognition became leading commercial systems that meet the need for fast and efficient confirmation of a person's identity. Facial recognition works on biometric samples, like image or vid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bfea6cb60f7bc4eec9dd8c692411dec
https://doi.org/10.4018/978-1-7998-3038-2.ch014
https://doi.org/10.4018/978-1-7998-3038-2.ch014
Publikováno v:
IEEE ICCI*CC
Web of Science
Web of Science
The quality of biometrie data has a strong relationship with the performance of a face recognition system. The accuracy of automated face recognition systems is greatly affected by various quality factors, such as illumination, contrast, brightness,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1e65c8ab9d0663379cf2ebf57743a51
https://doi.org/10.1109/icci-cc.2017.8109741
https://doi.org/10.1109/icci-cc.2017.8109741