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22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings(4)
2014 19th Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2014(1)
Advances in Intelligent Systems and Computing(1)
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ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods(1)
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scopus(10)
Automatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques
ArticleAbstract: Sleep is a growing area of research interest in medicine and neuroscience. Actually, one major concePalabras claves:Clustering, Feature Extraction, feature selection, Q-α, Relevance analysis, Signal entropy, Sleep stagesAutores:Cirugeda-Roldán E., Cuesta-Frau D., Diego Hernán Peluffo-Ordóñez, Jiménez-Rodríguez A., Osorio-Forero A., Rodríguez-Sotelo J.L.Fuentes:scopusA multi-class extension for multi-labeler support vector machines
Conference ObjectAbstract: In recent years, there has been an increasing interest in the design of pattern recognition systemsPalabras claves:Autores:Arias-Londoño J.D., Castellanos-Domínguez G., Diego Hernán Peluffo-Ordóñez, Murillo-Rendón S.Fuentes:scopusGeneralized kernel framework for unsupervised spectral methods of dimensionality reduction
Conference ObjectAbstract: This work introduces a generalized kernel perspective for spectral dimensionality reduction approachPalabras claves:Autores:Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.Fuentes:scopusMultiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction
Conference ObjectAbstract: Stochastic neighbor embedding (SNE) is a method of dimensionality reduction that involves softmax siPalabras claves:Autores:Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.Fuentes:scopusNovel spectral characteristics of the electrical current waveform to quantifying power quality on LED lamps
Conference ObjectAbstract: LED lamps are widely used in household, nonetheless they are still non-linear. Therefore, LEDs needPalabras claves:Lighting systems, Periodogram, power factor corrector, Power Quality, power spectral densityAutores:Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-FuelagánFuentes: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:scopusUnsupervised relevance analysis for feature extraction and selection: A distance-based approach for feature relevance
Conference ObjectAbstract: The aim of this paper is to propose a new generalized formulation for feature extraction based on diPalabras claves:Feature Extraction, Feature relevance, feature selection, M-norm, PCaAutores:Castellanos-Dominguez G., Diego Hernán Peluffo-Ordóñez, Lee J.A., Rodríguez J.L., Verleysen M.Fuentes:scopusShort Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding
Conference ObjectAbstract: Dimensionality reduction methods aimed at preserving the data topology have shown to be suitable forPalabras claves:Dimensionality reduction, divergences, similarity, stochastic neighbor embeddingAutores:Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.Fuentes:scopusQuadratic problem formulation with linear constraints for normalized cut clustering
Conference ObjectAbstract: This work describes a novel quadratic formulation for solving the normalized cuts-based clustering pPalabras claves:Autores:Acosta-Medina C.D., Castellanos-Dominguez G., Castro-Hoyos C., Diego Hernán Peluffo-OrdóñezFuentes:scopusRecent methods for dimensionality reduction: A brief comparative analysis
Conference ObjectAbstract: Dimensionality reduction is a key stage for both the design of a pattern recognition system or dataPalabras claves:Autores:Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.Fuentes:scopus