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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(6)
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10(1)
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014(1)
2014 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2014 - Proceedings(1)
22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings(1)
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scopus(21)
Compactly supported graph building for spectral clustering
Conference ObjectAbstract: In spectral clustering approaches is of great importance how is built the graph representation overPalabras claves:Autores:A. E. Castro-Ospina, Álvarez-Meza A.M., Castellanos-Dominguez G.Fuentes:scopusAutomatic graph building approach for spectral clustering
Conference ObjectAbstract: Spectral clustering techniques have shown their capability to identify the data relationships usingPalabras claves:Graph analysis, kernel function, Spectral clusteringAutores:A. E. Castro-Ospina, Álvarez-Meza A.M., Castellanos-Dominguez G.Fuentes:scopusAutomatic graph pruning based on kernel alignment for spectral clustering
ArticleAbstract: Detection of data structures in spectral clustering approaches becomes a difficult task when dealingPalabras claves:Graph pruning, Kernel alignment, Spectral clusteringAutores:A. E. Castro-Ospina, Álvarez-Meza A.M., Castellanos-Dominguez G.Fuentes:scopusAn improved multi-class spectral clustering based on normalized cuts
Conference ObjectAbstract: In this work, we present an improved multi-class spectral clustering (MCSC) that represents an alterPalabras claves:Autores:Acosta-Medina C.D., Castellanos-Dominguez G., Diego Hernán Peluffo-OrdóñezFuentes:scopusA kernel-based representation to support 3D MRI unsupervised clustering
Conference ObjectAbstract: A new kernel-based image representation is proposed on this paper aiming to support clustering tasksPalabras claves:Autores:A. E. Castro-Ospina, Álvarez-Meza A.M., Cardenas-Pena D., Castellanos-Dominguez G., Orbes-Arteaga M.Fuentes:scopusGeneralized Low-Computational Cost Laplacian Eigenmaps
Conference ObjectAbstract: Dimensionality reduction (DR) is a methodology used in many fields linked to data processing, and maPalabras claves:Dimensionality reduction, Generalized methodology, Kernel approximations, Low-computational cost, multiple kernel learning, Spectral methodsAutores:Basante C., Castellanos-Dominguez G., Cruz-Cruz L.D., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Ortega C., Peña D.F., Salazar-Castro J.A., Xiomara P. Blanco-ValenciaFuentes:scopusEffect of latency on clustering of P300 recordings for ADHD discrimination
Conference ObjectAbstract: This paper is focused on testing the latency contribution as regards the quality of formed groups foPalabras claves:Autores:Castellanos-Dominguez G., Diego Hernán Peluffo-Ordóñez, Martinez-Vargas J.D.Fuentes:scopusEffectiveness of morphological and spectral heartbeat characterization on arrhythmia clustering for Holter recordings
Conference ObjectAbstract: Heartbeat characterization is an important issue in cardiac assistance diagnosis systems. In particuPalabras claves:clustering methods, Feature Extraction, Signal analysisAutores:Castellanos-Dominguez G., Castro-Hoyos C., Diego Hernán Peluffo-Ordóñez, Rodríguez-Sotelo J.L.Fuentes:scopusMulti-labeler analysis for bi-class problems based on soft-margin support vector machines
Conference ObjectAbstract: This work presents an approach to quantify the quality of panelist's labeling by means of a soft-marPalabras claves:Bi-class classifier, multi-labeler analysis, Quadratic programming, SUPPORT VECTOR MACHINESAutores:Arias-Londoño J.D., Castellanos-Dominguez G., Diego Hernán Peluffo-Ordóñez, Murillo-Rendón S.Fuentes:scopusNonparametric density-based clustering for cardiac arrhythmia analysis
Conference ObjectAbstract: In this work, a nonsupervised algorithm for feature selection and a non-parametric density-based cluPalabras claves:Autores:Castellanos-Dominguez G., Cuesta-Frau D., Diego Hernán Peluffo-Ordóñez, Rodríguez-Sotelo J.L.Fuentes:scopus