Mostrando 5 resultados de: 5
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Conference Object(5)
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IECON Proceedings (Industrial Electronics Conference)(2)
IEEE International Symposium on Industrial Electronics(2)
Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society(1)
A comparative example between the use of PCA and MDS for image classification
Conference ObjectAbstract: In this paper, a practical comparison is performed between the use of the principal component analysPalabras claves:Autores:Camejo I.M., González-Posada V., Ivanov M.V., José Luís Jimenéz-Martín, Kolendovska M., Mendez A., Omar Flor-Unda, Rodriguez-Quinonez J.C., Sergyienko O., Wilmar HernandezFuentes:scopusA method of image classification by using multidimensional scaling
Conference ObjectAbstract: In this paper, a method for image classification based on multidimensional scaling (MDS) is presentePalabras claves:Autores:Balleteros F., Camejo I.M., González-Posada V., Ivanov M.V., José Luís Jimenéz-Martín, Mendez A., Pablo Alejandro Quezada-Sarmiento, Ruiz-Pico A.A., Tyrsa V.V., Wilmar HernandezFuentes:scopusA method to classify digital images by means of statistics of a wavelet decomposition
Conference ObjectAbstract: There is a wide variety of methods for the analysis of textures and the extraction of image charactePalabras claves:Autores:Balleteros F., González-Posada V., Héctor F. Chinchero, José Luís Jimenéz-Martín, Mendez A., Patricia Acosta-Vargas, Rasa Zalakeviciute, Wilmar HernandezFuentes:scopusImage compression based on periodic principal components
Conference ObjectAbstract: In the present paper, the almost periodicity of the first principal components is studied, with thePalabras claves:Autores:Camejo I.M., Jose Rigoberto Munoz Cagua, Luis Alberto Jumbo-Flores, Mendez A., Mercorelli P., Pablo Alejandro Quezada-Sarmiento, Patricia Acosta-Vargas, Tyrsa V.V., Willam Bladimir Cevallos, Wilmar HernandezFuentes:scopusImage noise cancellation by taking advantage of the principal component analysis technique
Conference ObjectAbstract: In this paper, some advantages of the principal component analysis (PCA) technique have been used toPalabras claves:image filtering, image reconstruction, principal components analysisAutores:Balleteros F., Mendez A., Wilmar HernandezFuentes:googlescopus