Documentos de Esteban José Palomo | REDI

Regresar

Mostrando 9 resultados de: 9

Filtros aplicados

Objetivos de Desarrollo Sostenible: "ODS 16: Paz, justicia e instituciones sólidas"

Subtipo de publicación

Conference Object(6)

Publisher

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)

Proceedings of the International Joint Conference on Neural Networks(2)

Advances in Soft Computing(1)

Expert Systems with Applications(1)

Integrated Computer-Aided Engineering(1)

Área temáticas

Ciencias de la computación(5)

Métodos informáticos especiales(5)

Física aplicada(1)

Instrumentos de precisión y otros dispositivos(1)

Otros productos finales y envases(1)

Área de conocimiento

Ciencias de la computación(9)

Visión por computadora(3)

Análisis de datos(1)

Aprendizaje automático(1)

Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura(9)

ODS 8: Trabajo decente y crecimiento económico(7)

ODS 17: Alianzas para lograr los objetivos(2)

Año de Publicación

Origen

Palabras Claves

Data visualisation(2)

Network forensics(2)

data clustering(2)

hierarchical self-organisation(2)

Feature Extraction(1)

A New Self-Organizing Neural Gas Model based on Bregman Divergences

Conference Object

Abstract: In this paper, a new self-organizing neural gas model that we call Growing Hierarchical Bregman Neur

Palabras claves:

Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Molina-Cabello M.A.

Assessment of geometric features for individual identification and verification in biometric hand systems

Abstract: This paper studies the reliability of geometric features for the identification of users based on ha

Palabras claves:

Genetic Algorithms, Geometric features, Hand biometrics, User identification

Elizondo D., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Watson T.

An intrusion detection system based on hierarchical self-organization

Conference Object

Abstract: An intrusion detection system (IDS) monitors the IP packets flowing over the network to capture intr

Palabras claves:

intrusion detection, Network security, Self-Organization

Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.

Application of growing hierarchical SOM for visualisation of network forensics traffic data

Abstract: Digital investigation methods are becoming more and more important due to the proliferation of digit

Palabras claves:

data clustering, Data visualisation, Feature Extraction, hierarchical self-organisation, Network forensics

Elizondo D., Esteban José Palomo, Luque-Baena R.M., North J., Watson T.

Growing competitive network for tracking objects in video sequences

Conference Object

Abstract: The aim of this paper is to present the use of Growing Competitive Neural Networks as a precise meth

Palabras claves:

Esteban José Palomo, López-Rodríguez D., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.

SOM-based techniques towards hierarchical visualisation of network forensics traffic data

Conference Object

Abstract: Current research is improving the quality and efficiency of digital investigation methods due to the

Palabras claves:

data clustering, Data visualisation, hierarchical self-organisation, Network forensics

Domínguez E., Elizondo D., Esteban José Palomo, Luque-Baena R.M., Watson T.

Motion detection with low cost hardware for PTZ cameras

Abstract: Pan-Tilt-zoom (PTZ) cameras are well suited to motion detection and tracking objects due to their mo

Palabras claves:

background features, background modeling, feed forward neural network, foreground detection, Motion detection, PTZ cameras

Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ortiz-de-Lazcano-Lobato J.M.

Object tracking in video sequences by unsupervised learning

Conference Object

Abstract: A Growing Competitive Neural Network system is presented as a precise method to track moving objects

Palabras claves:

Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.

Visualisation of network forensics traffic data with a self-organising map for qualitative features

Conference Object

Abstract: Digital crimes are a part of modern life but evidence of these crimes can be captured in network tra

Palabras claves:

Elizondo D., Esteban José Palomo, Luque-Baena R.M., North J., Watson T.