Efrén Mezura-Montes; Héctor Gabriel Acosta-Mesa; Jesús Ariel Carrasco-Ochoa; José Francisco Martínez-Trinidad; Olvera-López Springer International Publishing AG (2024) Pehmeäkantinen kirja
Jesús Ariel Carrasco-Ochoa; Jose Francisco Martinez-Trinidad; Jose Arturo Olvera López; Kim L. Boyer Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Jose Francisco Martinez-Trinidad; Jesús Ariel Carrasco-Ochoa; Jose Arturo Olvera-López; Joaquín Salas-Rodríguez; Ching Suen Springer International Publishing AG (2014) Pehmeäkantinen kirja
Jesús Ariel Carrasco-Ochoa; José Francisco Martínez-Trinidad; José Arturo Olvera-López; Joaquín Salas Springer Nature Switzerland AG (2019) Pehmeäkantinen kirja
Jesús Ariel Carrasco-Ochoa; José Francisco Martínez-Trinidad; Juan Humberto Sossa-Azuela; José Arturo Olvera López; Famili Springer International Publishing AG (2015) Pehmeäkantinen kirja
José Francisco Martínez-Trinidad (ed.); Jesús Ariel Carrasco-Ochoa (ed.); Victor Ayala Ramírez (ed.); José Artu Olvera-López Springer (2016) Pehmeäkantinen kirja
Jesús Ariel Carrasco-Ochoa; José Francisco Martínez-Trinidad; José Arturo Olvera-López Springer International Publishing AG (2017) Pehmeäkantinen kirja
José Francisco Martínez-Trinidad; Jesús Ariel Carrasco-Ochoa; José Arturo Olvera-López; Sudeep Sarkar Springer International Publishing AG (2018) Pehmeäkantinen kirja
Irene Rivera-Trigueros; Abigail López-Alcarria; Diego-Pablo Ruiz-Padillo; María Dolores Olvera-Lobo; Jose Gutierrez-Perez IGI Global (2022) Kovakantinen kirja
Irene Rivera-Trigueros; Abigail López-Alcarria; Diego-Pablo Ruiz-Padillo; María Dolores Olvera-Lobo; Jose Gutierrez-Perez IGI Global (2023) Pehmeäkantinen kirja
This book constitutes the proceedings of the 16th Mexican Conference on Pattern Recognition, MCPR 2024, held in Xalapa, Mexico, during June 19–22, 2024, Proceedings.
The 36 full papers were carefully reviewed and selected from 68 submissions. The papers are organized in subject areas as follows: Pattern Recognition and Machine Learning Techniques; Computer Vision; Medical Applications of Pattern Recognition; Language Processing and Recognition; Deep Learning and Neural Networks.