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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
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)
ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning(1)
Pattern Recognition Letters(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: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: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: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:scopusOptimal data projection for kernel spectral clustering
Conference ObjectAbstract: Spectral clustering has taken an important place in the context of pattern recognition, being a goodPalabras claves:Autores:Alzate C., Castellanos-Dominguez G., Diego Hernán Peluffo-Ordóñez, Suykens J.A.K.Fuentes:scopusImage segmentation based on multi-kernel learning and feature relevance analysis
Conference ObjectAbstract: In this paper an automatic image segmentation methodology based on Multiple Kernel Learning (MKL) isPalabras claves:Kernel learning, Relevance analysis, Spectral clusteringAutores:Álvarez-Meza A.M., Castellanos-Dominguez G., Diego Hernán Peluffo-Ordóñez, Molina-Giraldo S.Fuentes:scopusKernel spectral clustering for motion tracking: A first approach
Conference ObjectAbstract: This work introduces a first approach to track moving-samples or frames matching each sample to a siPalabras claves:Kernels, motion tracking, Spectral clusteringAutores:Castellanos-Dominguez G., Diego Hernán Peluffo-Ordóñez, Garcia-Vega S.Fuentes:scopus