Mostrando 5 resultados de: 5
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2014 IEEE Sensor Systems for a Changing Ocean, SSCO 2014(1)
Communications in Computer and Information Science(1)
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives(1)
Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017(1)
Universidad de Cuenca(1)
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Ciencias de la computación(4)
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Fusion of LiDAR and hyperspectral data for semantic segmentation of forest tree species
Conference ObjectAbstract: Hyperspectral images (HI) and Light Detection and Ranging (LiDAR) provide high resolution radiometriPalabras claves:Hyperspectral images, Lidar, robust PCA, Semantic Segmentation, Temperate forestsAutores:Barre J.B., Chanussot J., Dalla Mura M., Eduardo Tusa, Monnet J.M.Fuentes:googlescopusMulti-category classification of mammograms by using convolutional neural networks
Conference ObjectAbstract: This work describes the process of multi-category classification of mammograms by using ConvolutionaPalabras claves:BIRADS, Breast Cancer, Convolutional neural network, pattern recognition, TensorFlowAutores:Bertha Mazon-Olivo, Campoverde E., Eduardo Tusa, Ivan Ramirez-Morales, Moya E., Wilmer Rivas AsanzaFuentes:googlescopusImplementation of a fast coral detector using a supervised machine learning and Gabor Wavelet feature descriptors
Conference ObjectAbstract: The task of reef restoration is very challenging for volunteer SCUBA divers, if it has to be carriedPalabras claves:Autores:Bosnjak A., Eduardo Tusa, Lane D., Reynolds A., Robertson N., Villegas H.Fuentes:googlescopusMammogram classification schemes by using convolutional neural networks
Conference ObjectAbstract: This work presents the comparison of two schemes of mammogram classification based on convolutionalPalabras claves:Breast Cancer, Convolutional neural network, Machine learning, Mammography, TensorFlowAutores:Carlos Aguilar, Danny Soriano, Eduardo Tusa, Ivan Ramirez-Morales, Maritza Pinta, Wilmer Rivas AsanzaFuentes:googlescopusImplementación de un detector de coral utilizando filtros Gabor Wavelets y máquinas de aprendizaje
ArticleAbstract: Este trabajo se enfoca en la implementación de un detector de arrecife de coral de desempeño rápidoPalabras claves:Arrecife De Coral, Autonomous Underwater Vehicle, Filtros Gabor Wavelets, MAQUINAS DE APRENDIZAJE, OPENCVAutores:DIUC, Alan Reynolds, David M. Lane, Dirección de Investigación de la Universidad de Cuenca, Eduardo Tusa, Hyxia Villegas, Neil M. Robertson, Universidad de CuencaFuentes:rraae