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scopus(3)
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:scopusKernel-Spectral-Clustering-Driven Motion Segmentation: Rotating-Objects First Trials
Conference ObjectAbstract: Time-varying data characterization and classification is a field of great interest in both scientifiPalabras claves:Kernels, motion tracking, Spectral clusteringAutores:Diego Hernán Peluffo-Ordóñez, I. C. Marrufo-Rodríguez, K. L. Ponce-Guevara, M. A. Páez-Jaime, Omar R. Oña-Rocha, Riascos-Salas J.A., Salazar-Castro J.A., Torres D.M.Fuentes: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