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Es una versión "extendida" de DSpace, con un modelo de datos potente y flexible para describir no sólo las publicaciones, sino también todas las entidades del entorno de investigación y sus enlaces significativos.
Creado en 2009 en la Universidad de Hong Kong
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DSpace-CRIS UAEMEX
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Farid García Lamont
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Showing results 1 to 20 of 25
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Issue Date
Title
Author(s)
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A hybrid algorithm to improve the accuracy of support vector machines on skewed data-sets
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Análisis comparativo de las técnicas utilizadas en un sistema de reconocimiento de hojas de planta
Jair Cervantes Canales
; Farid García Lamont
; ARTURO YEE RENDON
; JOSE SERGIO RUIZ CASTILLA
; JESUS TALTEMPA MORENO
; LAURA YADIRA DOMINGUEZ JALILI
-
Artificial intelligence techniques in handover decision: a brief re- view
-
Automatic computing of number of clusters for color image segmentation employing fuzzy c-means by extracting chromaticity features of colors
Jair Cervantes Canales
; Farid García Lamont
; ASDRUBAL LOPEZ CHAU
; ARTURO YEE RENDON
-
Automatic mapping magnetic resonance images into multimedia database using SIFT
JENNIFER LYNN REYNOSO MUÑOZ
; ALMA DELIA CUEVAS RASGADO
; Farid García Lamont
; ADOLFO GUZMAN ARENAS
-
Automatic mapping magnetic resonance images into multimedia database using SIFT
JENNIFER LYNN REYNOSO MUÑOZ
; ALMA DELIA CUEVAS RASGADO
; Farid García Lamont
; ADOLFO GUZMAN ARENAS
-
Calculo automático de índice de masa corporal usando visión artificial
-
Clasificación del lenguaje de señas mexicano con SVM generando datos artificiales
-
Classification of mexican paper currency denomination by extracting their discriminative colors
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Classification on imbalanced data sets, taking advantage of errors to improve performance
-
Color characterization comparison for machine vision-based fruit recognition
-
Color image segmentation using saturated RGB colors and decoupling the intensity from the hue
-
Complex identification of plants from leaves
Jair Cervantes Canales
; Farid García Lamont
; Lisbeth Rodríguez Mazahua
; ALFONSO ZARCO HIDALGO
; JOSE SERGIO RUIZ CASTILLA
-
Computing the number of groups for color image segmentation using competitive neural networks and fuzzy c-means
Jair Cervantes Canales
; Farid García Lamont
; ASDRUBAL LOPEZ CHAU
; JOSE SERGIO RUIZ CASTILLA
-
Contrast enhacenment of RGB color images by histogram equalization of color vectors' intensities
Jair Cervantes Canales
; Farid García Lamont
; ASDRUBAL LOPEZ CHAU
; JOSE SERGIO RUIZ CASTILLA
-
Data selection based on decision tree for SVM classification on large data sets
-
Extraordinary Passive Safety in Cars Using a Sensor Network Model
-
Fisher’s decision tree
-
Human mimic color perception for segmentation of color images using a three-layered self-organizing map previously trained to classify color chromaticity
Jair Cervantes Canales
; Farid García Lamont
; ASDRUBAL LOPEZ CHAU
-
Proactive Cross-Layer Framework Based on Classification Techniques for Handover Decision on WLAN Environments