Documentos de Javier E. Revelo-Fuelagán | 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(6)

Publisher

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(5)

Communications in Computer and Information Science(1)

Área temáticas

Métodos informáticos especiales(4)

Ciencias de la computación(2)

Funcionamiento de bibliotecas y archivos(1)

Programación informática, programas, datos, seguridad(1)

Área de conocimiento

Ciencias de la computación(5)

Análisis de datos(3)

Aprendizaje automático(2)

Optimización matemática(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

Dimensionality reduction(5)

data visualization(3)

Pairwise similarity(2)

multiple kernel learning(2)

A novel color-based data visualization approach using a circular interaction model and dimensionality reduction

Conference Object

Abstract: Dimensionality reduction (DR) methods are able to produce low-dimensional representations of an inpu

Palabras claves:

data visualization, Dimensionality reduction, Interactive Interface, Pairwise similarity

Ana C. Umaquinga-Criollo, Castellanos-Dominguez G., Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Paul D. Rosero-Montalvo, Salazar-Castro J.A., Zenaida Castillo-Marrero

Comparative analysis between embedded-spaces-based and Kernel-based approaches for interactive data representation

Conference Object

Abstract: This work presents a comparative analysis between the linear combination of em-bedded spaces resulti

Palabras claves:

Artificial Intelligence, CMDS, Dimensionality reduction methods, Kernel, Kernel PCA, LE, LLE

Carlos M. Ortega-Castillo, Cielo K. Basante-Villota, Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Salazar-Castro J.A.

Angle-based model for interactive dimensionality reduction and data visualization

Conference Object

Abstract: In recent times, an undeniable fact is that the amount of data available has increased dramatically

Palabras claves:

data visualization, Dimensionality reduction, Kernel PCA, Pairwise similarity

Carlos M. Ortega-Castillo, Cielo K. Basante-Villota, Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, MacArthur Ortega-Bustamante, Paul D. Rosero-Montalvo, Salazar-Castro J.A., Vega-Escobar L.S.

Generalized Low-Computational Cost Laplacian Eigenmaps

Conference Object

Abstract: Dimensionality reduction (DR) is a methodology used in many fields linked to data processing, and ma

Palabras claves:

Dimensionality reduction, Generalized methodology, Kernel approximations, Low-computational cost, multiple kernel learning, Spectral methods

Basante C., Castellanos-Dominguez G., Cruz-Cruz L.D., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Ortega C., Peña D.F., Salazar-Castro J.A., Xiomara P. Blanco-Valencia

Interactive data visualization using dimensionality reduction and dissimilarity-based representations

Conference Object

Abstract: This work describes a new model for interactive data visualization followed from a dimensionality-re

Palabras claves:

data visualization, Dimensionality reduction, Pairwise dissimilarity

Alvarado-PÉrez J.C., Castro-Silva J.A., Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, MacArthur Ortega-Bustamante, Paul D. Rosero-Montalvo, Therón R.

Multiple kernel learning for spectral dimensionality reduction

Conference Object

Abstract: This work introduces a multiple kernel learning (MKL) approach for selecting and combining different

Palabras claves:

Dimensionality reduction, Generalized kernel, Kernel PCA, multiple kernel learning

A. E. Castro-Ospina, Alvarado-PÉrez J.C., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán