Nicolás Luis Fernández García

Orcid: 0000-0002-1267-6986

Affiliations:
  • University of Córdoba, Department of Computing and Numerical Analysis, Spain


According to our database1, Nicolás Luis Fernández García authored at least 18 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Optimal online time-series segmentation.
Knowl. Inf. Syst., April, 2024

2023
Assessing polygonal approximations: A new measurement and a comparative study.
Pattern Recognit., June, 2023

2021
A new approach for optimal offline time-series segmentation with error bound guarantee.
Pattern Recognit., 2021

2020
A new approach for optimal time-series segmentation.
Pattern Recognit. Lett., 2020

Unsupervised generation of polygonal approximations based on the convex hull.
Pattern Recognit. Lett., 2020

2017
New method for obtaining optimal polygonal approximations to solve the min- $$\varepsilon$$ ε problem.
Neural Comput. Appl., 2017

2016
An efficient unsupervised method for obtaining polygonal approximations of closed digital planar curves.
J. Vis. Commun. Image Represent., 2016

A new thresholding approach for automatic generation of polygonal approximations.
J. Vis. Commun. Image Represent., 2016

2011
A new measurement for assessing polygonal approximation of curves.
Pattern Recognit., 2011

2010
Method for Polygonal Approximation through Dominant Points Deletion.
Proceedings of the Trends in Applied Intelligent Systems, 2010

2008
Automatic generation of consensus ground truth for the comparison of edge detection techniques.
Image Vis. Comput., 2008

A New Algorithm for Dominant Point Detection by Quasi-collinear Break Points Supression.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2008

2007
Dominant Points Detection Using Phase Congruence.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2005
Evaluation of global thresholding techniques in non-contextual edge detection.
Pattern Recognit. Lett., 2005

Dominant point detection: A new proposal.
Image Vis. Comput., 2005

2004
Characterization of empirical discrepancy evaluation measures.
Pattern Recognit. Lett., 2004

A Method for Dominant Points Detection and Matching 2D Object Identification.
Proceedings of the Image Analysis and Recognition: International Conference, 2004

2003
Simplified Texture Unit: A New Descriptor of the Local Texture in Gray-Level Images.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003


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