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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
Advances in Science, Technology and Engineering Systems(1)
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Métodos informáticos especiales(3)
Ciencias de la computación(2)
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Ciencias de la computación(3)
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scopus(4)
Automatic motion segmentation via a cumulative kernel representation and spectral clustering
Conference ObjectAbstract: Dynamic or time-varying data analysis is of great interest in emerging and challenging research on aPalabras claves:Kernel spectral clustering, Motion segmentation, Time-varying data, Variable rankingAutores:Ana C. Umaquinga-Criollo, Diego Hernán Peluffo-Ordóñez, Luis Suárez-Zambrano, O. T. Sánchez-Manosalvas, Omar R. Oña-Rocha, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.Fuentes:scopusData visualization using interactive dimensionality reduction and improved color-based interaction model
Conference ObjectAbstract: This work presents an improved interactive data visualization interface based on a mixture of the ouPalabras claves:Color-based model, data visualization, Dimensionality reduction, Pairwise similarityAutores:Ana C. Umaquinga-Criollo, Castro-Silva J.A., Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, E. A. Rosero-Rosero, Paul D. Rosero-MontalvoFuentes:scopusPrototype reduction algorithms comparison in nearest neighbor classification for sensor data: Empirical study
Conference ObjectAbstract: This work presents a comparative study of prototype selection (PS) algorithms. Such a study is donePalabras claves:Knn, prototype selection, sensor dataAutores:Ana C. Umaquinga-Criollo, Anaya A., Carlos A.A. Vásquez, Diego Hernán Peluffo-Ordóñez, Edwin A. Rosero, Jorge Serrano, Luis Suárez-Zambrano, Paul D. Rosero-MontalvoFuentes:scopusTheoretical developments for interpreting kernel spectral clustering from alternative viewpoints
ArticleAbstract: To perform an exploration process over complex structured data within unsupervised settings, the so-Palabras claves:Kernel, Spectral clustering, SUPPORT VECTOR MACHINESAutores:Ana C. Umaquinga-Criollo, Diego Hernán Peluffo-Ordóñez, Edgar Maya-Olalla, Hernán Mauricio Domínguez-Limaico, Luis Suárez-Zambrano, Omar R. Oña-Rocha, Paul D. Rosero-Montalvo, Stefany Flores-ArmasFuentes:scopus