Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ricardo Swain-Oropeza"'
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 3, Iss 1, Pp 52-59 (2005)
In this paper, we suggest to use color-image classification (in several phases) using Markov Random Fields (MRFs) in order to understand natural images from outdoor environment's scenes for a mobile robot. We skip preprocessing phase having same resu
Externí odkaz:
https://doaj.org/article/6902b68648f44f7793b41cdd654f270f
Autor:
Ricardo Swain-Oropeza, C. Leticia Salazar-Cano, Genaro Zavala, Carlos Eduardo Martinez-Torteya, Enrique Diaz de Leon Lopez, Vianney Lara-Prieto, Josefina Munoz-Castillo
Publikováno v:
EDUCON
The Covid-19 pandemic forced Higher Education classes to shift to online education. This sudden change required universities to respond rapidly, adapting their classes to remote courses maintaining quality educational delivery. In this context, our u
Publikováno v:
EDUCON
This work presents the descriptive analysis of the results of the students’ woman-faculty evaluation close question survey results for the Tec21 Competence-Based Educational Model. The analysis includes, and discusses, box graphs of the results of
Autor:
Luis Fernando Resendez-Maqueda, Maria Rubi Forte-Celaya, Alejandro Sandoval-Correa, Ricardo Swain Oropeza
Publikováno v:
EDUCON
Digital education has reached enormous advances and acceptance in the last decade. COVID 19 has triggered a boom in the digital education implementation. Those courses that never had been delivered in a digital format, suddenly were forced to be prep
Publikováno v:
2019 IEEE 11th International Conference on Engineering Education (ICEED).
We are undertaking probably the most innovative and transformational education initiative in the history of our institution. Tecnologico de Monterrey is expanding Tec21 Educational Model to every single discipline and academic program. This model is
Autor:
Carlos Nieto-Granda, Lourdes Muñoz-Gómez, Moises Alencastre-Miranda, Ricardo Swain-Oropeza, Isaac Rudomin
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783540689492
PPSDR@ICRA
PPSDR@ICRA
In this chapter, we describe the design of an object oriented and distributed architecture and the development of a modular networked system that allow us to have a multi-robot-multi-operator system. On that system, users can collaborate on different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d43d6b2ba9d323a1000ccd8021abd599
https://doi.org/10.1007/978-3-540-68951-5_25
https://doi.org/10.1007/978-3-540-68951-5_25
Autor:
Erik Millán, Ricardo Swain-Oropeza, Alejandro Aceves-López, Raziel Alvarez, Campus Estado de México
Publikováno v:
Mobile Robots: Perception & Navigation
Visual perception systems are fundamental for robotic systems, as they represent an affordable interface to obtain information on different objects in the environment for a robot, and because they emulate the most commonly used sense in humans for wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64f40aa2def448af01ca87c029423d70
https://doi.org/10.5772/4772
https://doi.org/10.5772/4772
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540298960
MICAI
MICAI
This paper presents a technique for color image segmentation, product of the combination and improvement of a number of traditional approaches: Seed region growth, Threshold classification and level on detail in the analysis of demand. First, a set o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed9200c9d67577a84f0bbd17ad89d793
https://doi.org/10.1007/11579427_36
https://doi.org/10.1007/11579427_36
Publikováno v:
Advances in Artificial Intelligence – IBERAMIA 2004 ISBN: 9783540238065
IBERAMIA
IBERAMIA
This paper describes a color classification technique for the color subspaces definition based in 3D reconstruction approaches. These color subspaces use implicit functions to create a bounding surface that will fit a set of characteristic color samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cf68b6e502a2ded41fb91190874868f
https://doi.org/10.1007/978-3-540-30498-2_68
https://doi.org/10.1007/978-3-540-30498-2_68
Conference
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