Email: oronia@utn.edu.ec

Research Interests

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Publications

1. Automatic Motion Segmentation via a Cumulative Kernel Representation and Spectral Clustering
   Lecture Notes in Computer Science
   O. R. Oña-Rocha, O. T. Sánchez-Manosalvas, A. C. Umaquinga-Criollo, P. D. Rosero-Montalvo, L. E. Suárez-Zambrano, J. L. Rodríguez-Sotelo, D. H. Peluffo-Ordóñez
   See abstract | see full paper
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   Abstract

   Dynamic or time-varying data analysis is of great interest in emerging and challenging research on automation and machine learning topics. In particular, motion segmentation is a key stage in the design of dynamic data analysis systems. Despite several studies have addressed this issue, there still does not exist a final solution highly compatible with subsequent clustering/classification tasks. In this work, we propose a motion segmentation compatible with kernel spectral clustering (KSC), here termed KSC-MS, which is based on multiple kernel learning and variable ranking approaches. Proposed KSC-MS is able to automatically segment movements within a dynamic framework while providing robustness to noisy environments.