Documentos de Lee J.A. | REDI

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Mostrando 5 resultados de: 5

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Área temáticas: "Métodos informáticos especiales"

Subtipo de publicación

Conference Object(3)

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)

Advances in Intelligent Systems and Computing(1)

Área temáticas

Ciencias de la computación(3)

Funcionamiento de bibliotecas y archivos(2)

Ciencias Naturales y Matemáticas(1)

Fuerzas a pie y guerra(1)

Área de conocimiento

Ciencias de la computación(4)

Aprendizaje automático(3)

Análisis de datos(1)

Estadísticas(1)

Año de Publicación

Origen

Palabras Claves

Data visualisation(1)

Dimensionality reduction(1)

Jensen-Shannon divergence(1)

Manifold learning(1)

Nonlinear dimensionality reduction(1)

Advances in computational intelligence and learning (ESANN 2009)

Palabras claves:

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

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.

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.

Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding

Conference Object

Abstract: Dimensionality reduction methods aimed at preserving the data topology have shown to be suitable for

Palabras claves:

Dimensionality reduction, divergences, similarity, stochastic neighbor embedding

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

Recent methods for dimensionality reduction: A brief comparative analysis

Conference Object

Abstract: Dimensionality reduction is a key stage for both the design of a pattern recognition system or data

Palabras claves:

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