Documentos de Lee J.A. | REDI

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Mostrando 6 resultados de: 6

Filtros aplicados

Objetivos de Desarrollo Sostenible: "ODS 4: Educación de calidad"

Subtipo de publicación

Conference Object(4)

Publisher

Neurocomputing(2)

22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings(1)

23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings(1)

ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods(1)

IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIDM 2014: 2014 IEEE Symposium on Computational Intelligence and Data Mining, Proceedings(1)

Área temáticas

Ciencias de la computación(3)

Métodos informáticos especiales(3)

Ciencias Naturales y Matemáticas(1)

Fuerzas a pie y guerra(1)

Área de conocimiento

Ciencias de la computación(5)

Aprendizaje automático(4)

Optimización matemática(2)

Análisis de datos(1)

Estadísticas(1)

Objetivos de Desarrollo Sostenible

ODS 17: Alianzas para lograr los objetivos(6)

ODS 9: Industria, innovación e infraestructura(6)

Año de Publicación

Origen

Palabras Claves

Data visualisation(1)

Feature Extraction(1)

Feature relevance(1)

Jensen-Shannon divergence(1)

Generalized kernel framework for unsupervised spectral methods of dimensionality reduction

Conference Object

Abstract: This work introduces a generalized kernel perspective for spectral dimensionality reduction approach

Palabras claves:

Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.

Geometrical homotopy for data visualization

Conference Object

Abstract: This work presents an approach allowing for an interactive visualization of dimensionality reduction

Palabras claves:

Alvarado-PÉrez J.C., Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.

Advances in computational intelligence and learning (ESANN 2009)

Palabras claves:

Cecilio Angulo Bahón, Lee J.A., Schleif F.

Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure

Abstract: Stochastic neighbour embedding (SNE) and its variants are methods of nonlinear dimensionality reduct

Palabras claves:

Data visualisation, Jensen-Shannon divergence, Manifold learning, Nonlinear dimensionality reduction, Stochastic neighbour embedding

Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.

Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction

Conference Object

Abstract: Stochastic neighbor embedding (SNE) is a method of dimensionality reduction that involves softmax si

Palabras claves:

Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.

Unsupervised relevance analysis for feature extraction and selection: A distance-based approach for feature relevance

Conference Object

Abstract: The aim of this paper is to propose a new generalized formulation for feature extraction based on di

Palabras claves:

Feature Extraction, Feature relevance, feature selection, M-norm, PCa

Castellanos-Dominguez G., Diego Hernán Peluffo-Ordóñez, Lee J.A., Rodríguez J.L., Verleysen M.