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Home > Advances in Artificial Intelligence: 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Granada, Spain, October 23–26, 2018, Proceedings > A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering
Advances in Artificial Intelligence: 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Granada, Spain, October 23–26, 2018, Proceedings |
Francisco Herrera; Sergio Damas; Rosana Montes; Sergio Alonso; Óscar Cordón; Antonio González; Alicia Troncoso
Springer International Publishing
Advances in Artificial Intelligence: 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Granada, Spain, October 23–26, 2018, Proceedings
A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering
Authors

Andres Jesus Sanchez; Luis Felipe Romero; Siham Tabik; Miguel Angel Medina-Pérez; Francisco Herrera

ARI Id

1665148511053_5039487

Access

Not Available Free

Pages

361-371

DOI

10.1007/978-3-030-00374-6_34

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-00374-6_34

Table of Contents of Book
Showing 1 to 20 of 43 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-XXII
Front Matter
1-1
Neighbor Selection for Cold Users in Collaborative Filtering with Positive-Only Feedback
Alejandro Bellogín; Ignacio Fernández-Tobías; Iván Cantador; Paolo Tomeo
3-12
Crowd Learning with Candidate Labeling: An EM-Based Solution
Iker Beñaran-Muñoz; Jerónimo Hernández-González; Aritz Pérez
13-23
Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach
Andrés Camero; Jamal Toutouh; Enrique Alba
24-33
PMSC-UGR: A Test Collection for Expert Recommendation Based on PubMed and Scopus
César Albusac; Luis M. de Campos; Juan M. Fernández-Luna; Juan F. Huete
34-43
Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks
Irene Córdoba; Eduardo C. Garrido-Merchán; Daniel Hernández-Lobato; Concha Bielza; Pedro Larrañaga
44-54
Identifying the Machine Learning Family from Black-Box Models
Raül Fabra-Boluda; Cèsar Ferri; José Hernández-Orallo; Fernando Martínez-Plumed; María José Ramírez-Quintana
55-65
Participatory Design with On-line Focus Groups and Normative Systems
Marlon Cárdenas; Noelia García Castillo; Jorge Gómez-Sanz; Juan Pavón
66-75
Evaluation in Learning from Label Proportions: An Approximation to the Precision-Recall Curve
Jerónimo Hernández-González
76-86
Time Series Decomposition for Improving the Forecasting Performance of Convolutional Neural Networks
Iván Méndez-Jiménez; Miguel Cárdenas-Montes
87-97
Asymmetric Hidden Markov Models with Continuous Variables
Carlos Puerto-Santana; Concha Bielza; Pedro Larrañaga
98-107
Measuring Diversity and Accuracy in ANN Ensembles
M. Paz Sesmero; Juan Manuel Alonso-Weber; Alessandro Giuliani; Giuliano Armano; Araceli Sanchis
108-117
Adapting Hierarchical Multiclass Classification to Changes in the Target Concept
Daniel Silva-Palacios; Cesar Ferri; M. Jose Ramirez-Quintana
118-127
Measuring the Quality of Machine Learning and Optimization Frameworks
Ignacio Villalobos; Javier Ferrer; Enrique Alba
128-139
Front Matter
141-141
Equivalence Relations on Fuzzy Subgroups
Carlos Bejines; María Jesús Chasco; Jorge Elorza; Susana Montes
143-153
A PageRank-Based Method to Extract Fuzzy Expressions as Features in Supervised Classification Problems
Pablo Carmona; Juan Luis Castro; Jesús Lozano; José Ignacio Suárez
154-163
A Universal Decision Making Model for Restructuring Networks Based on Markov Random Fields
Julia García Cabello; Enrique Herrera-Viedma
164-173
Fuzzy Information and Contexts for Designing Automatic Decision-Making Systems
Maria Teresa Lamata; David A. Pelta; José Luis Verdegay
174-183
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 43 entries
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