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Listar CENTROS UNIVERSITARIOS por autor "Cervantes Canales, Jair"

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  • A hybrid algorithm to improve the accuracy of support vector machines on skewed data-sets 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; Huang, De-Shuang (Springer, 2014)
    Over the past few years, has been shown that generalization power of Support Vector Machines (SVM) falls dramatically on imbalanced data-sets. In this paper, we propose a new method to improve accuracy of SVM on imbalanced ...
  • Algoritmos para identificar plantas de maíz para automatizar la fertilización en México 
    GOMEZ RAMOS, MARCOS YAMIR (Universidad Autónoma del Estado de México, 2022-09-08)
    La presente investigación se enfoca en buscar y proponer una solución al problema del agricultor mexicano, dicho problema consiste en cómo se realiza la fertilización en sembradíos de maíz en México. La fertilización manual ...
  • Analysis of medical opinions about the nonrealization of autopsies in a Mexican hospital using association rules and bayesian networks 
    RUBIO DELGADO, ELAYNE; Rodríguez Mazahua, Lisbeth; PALET GUZMAN, JOSE ANTONIO; Cervantes Canales, Jair; SANCHEZ CERVANTES, JOSE LUIS; PELAEZ CAMARENA, SILVESTRE GUSTAVO SERGIO; LOPEZ CHAU, ASDRUBAL (Hindawi, 2018-01-12)
    This research identifies the factors influencing the reduction of autopsies in a hospital of Veracruz. The study is based on the application of data mining techniques such as association rules and Bayesian networks in data ...
  • Análisis comparativo de las técnicas utilizadas en un sistema de reconocimiento de hojas de planta 
    Cervantes Canales, Jair; García Lamont, Farid; YEE RENDON, ARTURO; RUIZ CASTILLA, JOSE SERGIO; TALTEMPA MORENO, JESUS; DOMINGUEZ JALILI, LAURA YADIRA (Elsevier, 2017-03-01)
    El desarrollo de sistemas de identificación de hojas de plantas es un reto actual que comprende numerosas aplicaciones que van desde alimentación, medicina, industria y medio ambiente. En la literatura actual, se han ...
  • ANÁLISIS COMPARATIVO DE TÉCNICAS DE RECONOCIMIENTO FACIAL 
    Calderón López, Emmanuel (Universidad Autónoma del Estado de México, 2016-05)
    Los métodos de reconocimiento facial han sido estudiados en años recientes por muchos investigadores en diferentes áreas. Las técnicas más importantes en reconocimiento facial pueden utilizar: Análisis de Componentes ...
  • Análisis del Impacto de las Técnicas de Pre-Procesamiento en la Segmentación de Imágenes de Plantas en Ambientes semi-Controlados 
    Muñoz Sanchez, Leonardo Zabdiel; Gómez Gómez, Mayra Ibeth (Universidad Autónoma del Estado de México, 2016-08-22)
    La segmentación en el campo de la visión artificial, es el proceso de dividir una imagen digital en varias partes (grupos de píxeles) u objetos. El objetivo de la segmentación es simplificar y/o cambiar la representación ...
  • Assigning-task method for developers in software projects 
    RUIZ CASTILLA, JOSE SERGIO; Escudero Santamaría, Eduardo Daniel; Cervantes Canales, Jair; Trueba Espinosa, Adrián (SPRINGER, 2017)
    Abstract. In the Software industry are developed big software projects with tens or hundreds of developers. The fast change in technologies and development environment increase the complexity. Usually, there are project ...
  • Automatic computing of number of clusters for color image segmentation employing fuzzy c-means by extracting chromaticity features of colors 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; YEE RENDON, ARTURO (Pattern Analysis and Applications, 2018-07-25)
    In this paper we introduce a method for color image segmentation by computing automatically the number of clusters the data, pixels, are divided into using fuzzy c-means. In several works the number of clusters is defined ...
  • Clasificación del lenguaje de señas mexicano con SVM generando datos artificiales 
    Cervantes Canales, Jair; García Lamont, Farid; ESPEJEL CABRERA, JOSUE; Trueba Espinosa, Adrián; HERNANDEZ SANTIAGO, JOSE (Vínculos, 2013-04-30)
    El desarrollo de herramientas que faciliten la comunicación de personas sordas es un reto de investigación actual muy importante. Una línea de investigación es el desarrollo de sistemas de visión con un gran poder de ...
  • Classification of mexican paper currency denomination by extracting their discriminative colors 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; Rodríguez Mazahua, Lisbeth (Springer, 2013)
    In this paper we describe a machine vision approach to recognize the denomination classes of the Mexican paper currency by extracting their color features. A banknote’s color is characterized by summing all the color vectors ...
  • Classification on imbalanced data sets, taking advantage of errors to improve performance 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL (Springer, 2015)
    Classification methods usually exhibit a poor performance when they are applied on imbalanced data sets. In order to overcome this problem, some algorithms have been proposed in the last decade. Most of them generate ...
  • Color characterization comparison for machine vision-based fruit recognition 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO (Springer, 2015)
    In this paper we present a comparison between three color characterizations methods applied for fruit recognition, two of them are selected from two related works and the third is the authors’ proposal; in the three works, ...
  • Color image segmentation using saturated RGB colors and decoupling the intensity from the hue 
    García Lamont, Farid; Cervantes Canales, Jair; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO (Multimedia Tools and Applications, 2019-11-05)
    Although the RGB space is accepted to represent colors, it is not adequate for color processing. In related works the colors are usually mapped to other color spaces more suitable for color processing, but it may imply an ...
  • Complex identification of plants from leaves 
    Cervantes Canales, Jair; García Lamont, Farid; Rodríguez Mazahua, Lisbeth; ZARCO HIDALGO, ALFONSO; RUIZ CASTILLA, JOSE SERGIO (Springer, 2018-08-15)
    The automatic identification of plant leaves is a very important current topic of research in vision systems. Several researchers have tried to solve the problem of identification from plant leaves proposing various ...
  • Computing the number of groups for color image segmentation using competitive neural networks and fuzzy c-means 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO (Springer, 2016)
    Fuzzy C-means (FCM) is one of the most often techniques employed for color image segmentation; the drawback with this technique is the number of clusters the data, pixels’ colors, is grouped must be defined a priori. In ...
  • Contrast enhacenment of RGB color images by histogram equalization of color vectors' intensities 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; RUIZ CASTILLA, JOSE SERGIO (Springer, 2018-08-15)
    The histogram equalization (HE) is a technique developed for image contrast enhancement of grayscale images. For RGB (Red, Green, Blue) color images, the HE is usually applied in the color channels separately; due to ...
  • Data selection based on decision tree for SVM classification on large data sets 
    Cervantes Canales, Jair; García Lamont, Farid; LOPEZ CHAU, ASDRUBAL; Rodríguez Mazahua, Lisbeth; RUIZ CASTILLA, JOSE SERGIO (Applied Soft Computing, 2015-08-18)
    Support Vector Machine (SVM) has important properties such as a strong mathematical background and a better generalization capability with respect to other classification methods. On the other hand, the major drawback of ...
  • Desarrollo de un Sistema de Identificación y Reconocimiento de Plantas Usando Técnicas de Aprendizaje Máquina 
    Dominguez Jalili, Laura Yadira (Universidad Autónoma del Estado de México, 2015-07-17)
    El reconocimiento de plantas a partir de técnicas de aprendizaje automático es un campo de investigación muy activo en los últimos años. Los algoritmos de detección y reconocimiento de plantas juegan un rol vital en muchas ...
  • Fisher’s decision tree 
    LOPEZ CHAU, ASDRUBAL; Cervantes Canales, Jair; LOPEZ GARCIA, LOURDES; García Lamont, Farid (Expert Systems with Applications, 2013-11-15)
    Univariate decision trees are classifiers currently used in many data mining applications. This classifier discovers partitions in the input space via hyperplanes that are orthogonal to the axes of attributes, producing a ...
  • HOMSI, a Home-Office model for the Software industry en the big cities of México 
    RUIZ CASTILLA, JOSE SERGIO; Cervantes Canales, Jair; AREVALO ZENTENO, MA. DOLORES; HERNANDEZ SANTIAGO, JOSE (Springer Nature Switzerland, 2018)
    The Software Industry in Mexico (SIM) is accentuated in large cities. This industry requires thousands of employees who must go to the offices daily. However, mobility in large cities is increasingly complicated by two ...

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