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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(5)
2014 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2014 - Proceedings(1)
ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning(1)
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scopus(8)
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 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:scopusDevelopments on solutions of the normalized-cut-clustering problem without eigenvectors
Conference ObjectAbstract: Normalized-cut clustering (NCC) is a benchmark graph-based approach for unsupervised data analysis.Palabras claves:Eigenvectors, Graph-based clustering, Normalized cut clustering, Quadratic formsAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, K. L. Ponce-Guevara, Leandro L. Lorente-Leyva, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.Fuentes:scopusCardiac pulse modeling using a modified van der Pol oscillator and genetic algorithms
Conference ObjectAbstract: This paper proposes an approach for modeling cardiac pulses from electrocardiographic signals (ECG).Palabras claves:Autores:A. E. Castro-Ospina, Antonio Acosta, Arciniegas-Mejía A.F., Diego Hernán Peluffo-Ordóñez, Imbajoa-Ruiz D.E., Lopez-Chamorro F., Paul D. Rosero-Montalvo, Pedro GarcíaFuentes:scopusFeature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals
Conference ObjectAbstract: The emotions identification is a very complex task due to depending on multiple variables individualPalabras claves:Emotion recognition, Improved complementary ensemble empirical mode decomposition, Multimodal, physiological signals, Signal processingAutores:A. E. Castro-Ospina, Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Gomez-Lara J.F., Javier E. Revelo-Fuelagán, Miguel A. Becerra, Ordóñez-Bolaños O.A., Rodríguez J.L.Fuentes:scopusMultiple kernel learning for spectral dimensionality reduction
Conference ObjectAbstract: This work introduces a multiple kernel learning (MKL) approach for selecting and combining differentPalabras claves:Dimensionality reduction, Generalized kernel, Kernel PCA, multiple kernel learningAutores:A. E. Castro-Ospina, Alvarado-PÉrez J.C., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-FuelagánFuentes:scopusNormalized cuts clustering with prior knowledge and a pre-clustering stage
Conference ObjectAbstract: Clustering is of interest in cases when data are not labeled enough and a prior training stage is unPalabras claves:Autores:A. E. Castro-Ospina, Acosta-Medina C.D., Castellanos-Dominguez G., Chavez-Chamorro D., Diego Hernán Peluffo-OrdóñezFuentes:scopusOn the spectral clustering for dynamic data
Conference ObjectAbstract: Spectral clustering has shown to be a powerful technique for grouping and/or rank data as well as aPalabras claves:Dynamic data, Kernels, Spectral clusteringAutores:A. E. Castro-Ospina, Alvarado-PÉrez J.C., Diego Hernán Peluffo-OrdóñezFuentes:scopus