Browsing by UPNA Author "Paternain Dallo, Daniel"
Now showing items 1-20 of 22
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Aggregation functions to combine RGB color channels in stereo matching
Galar Idoate, Mikel
; Jurío Munárriz, Aránzazu ; López Molina, Carlos ; Sanz Delgado, José Antonio ; Paternain Dallo, Daniel ; Bustince Sola, Humberto (Optical Society of America, 2013)
Artículo / Artikulua 
In this paper we present a comparison study between different aggregation functions for the combination of RGB color channels in stereo matching problem. We introduce color information from images to the stereo matching ... -
Application of two different methods for extending lattice-valued restricted equivalence functions used for constructing similarity measures on L-fuzzy sets
Palmeira, Eduardo S.; Bedregal, Benjamin; Bustince Sola, Humberto ; Paternain Dallo, Daniel ; Miguel Turullols, Laura de (Elsevier, 2018)
Artículo / Artikulua
Based on previous investigations, we have proposed two different methods to extend lattice-valued fuzzy connectives (t-norms, t-conorms, negations and implications) and other related operators, considering a generalized ... -
d-Choquet integrals: Choquet integrals based on dissimilarities
Bustince Sola, Humberto; Mesiar, Radko; Fernández Fernández, Francisco Javier ; Galar Idoate, Mikel ; Paternain Dallo, Daniel ; Altalhi, A. H.; Pereira Dimuro, Graçaliz ; Bedregal, Benjamin ; Takáč, Zdenko (Elsevier, 2020)
Artículo / Artikulua
The paper introduces a new class of functions from [0,1]n to [0,n] called d-Choquet integrals. These functions are a generalization of the 'standard' Choquet integral obtained by replacing the difference in the definition ... -
Dissimilarity based choquet integrals
Bustince Sola, Humberto; Mesiar, Radko; Fernández Fernández, Francisco Javier ; Galar Idoate, Mikel ; Paternain Dallo, Daniel (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
In this paper, in order to generalize the Choquet integral, we replace the difference between inputs in its definition by a restricted dissimilarity function and refer to the obtained function as d-Choquet integral. For ... -
Extensions of fuzzy sets in image processing: an overview
Pagola Barrio, Miguel; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Fernández Fernández, Francisco Javier ; Galar Idoate, Mikel ; Jurío Munárriz, Aránzazu ; López Molina, Carlos ; Paternain Dallo, Daniel ; Sanz Delgado, José Antonio ; Couto, P.; Melo Pinto, P. (EUSFLAT, 2011)
Artículo / Artikulua
This work presents a valuable review for the interested reader of the recent Works using extensions of fuzzy sets in image processing. The chapter is divided as follows: first we recall the basics of the extensions of fuzzy ... -
Image reduction using means on discrete product lattices
Beliakov, Gleb; Bustince Sola, Humberto ; Paternain Dallo, Daniel (IEEE, 2012)
Artículo / Artikulua
We investigate the problem of averaging values on lattices, and in particular on discrete product lattices. This problem arises in image processing when several color values given in RGB, HSL, or another coding scheme, ... -
The interval-valued Choquet integral based on admissible permutations
Paternain Dallo, Daniel; Miguel Turullols, Laura de ; Ochoa Lezaun, Gustavo ; Lizasoain Iriso, María Inmaculada ; Mesiar, Radko; Bustince Sola, Humberto (IEEE, 2018)
Artículo / Artikulua
Aggregation or fusion of interval data is not a trivial task, since the necessity of arranging data arises in many aggregation functions, such as OWA operators or the Choquet integral. Some arranging procedures have been ... -
Learning channel-wise ordered aggregations in deep neural networks
Domínguez Catena, Iris; Paternain Dallo, Daniel; Galar Idoate, Mikel (Springer, 2021)
Contribución a congreso / Biltzarrerako ekarpena
One of the most common techniques for approaching image classification problems are Deep Neural Networks. These systems are capable of classifying images with different levels of detail at different levels of detail, with ... -
Nested formulation paradigms for induced ordered weighted averaging aggregation for decision‐making and evaluation
Zhu, Chen; Jin, LeSheng; Mesiar, Radko; Yager, Ronald R.; Paternain Dallo, Daniel; Bustince Sola, Humberto (Wiley, 2019)
Artículo / Artikulua
Existing extensions to Yager's ordered weighted aver-aging (OWA) operators enlarge the application rangeand to encompass more principles and properties relatedto OWA aggregation. However, these extensions do notprovide a ... -
On the influence of admissible orders in IVOVO
Uriz Martín, Mikel Xabier; Paternain Dallo, Daniel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Springer, 2019)
Contribución a congreso / Biltzarrerako ekarpena
It is known that when dealing with interval-valued data, there exist problems associated with the non-existence of a total order. In this work we investigate a reformulation of an interval-valued decomposition strategy for ... -
On the influence of interval normalization in IVOVO fuzzy multi-class classifier
Uriz Martín, Mikel Xabier; Paternain Dallo, Daniel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Springer, 2019)
Contribución a congreso / Biltzarrerako ekarpena
IVOVO stands for Inverval-Valued One-Vs-One and is the combination of IVTURS fuzzy classifier and the One-Vs-One strategy. This method is designed to improve the performance of IVTURS in multi-class problems, by dividing ... -
Orness for real m-dimensional interval-valued OWA operators and its application to determine a good partition
Miguel Turullols, Laura de; Paternain Dallo, Daniel ; Lizasoain Iriso, María Inmaculada ; Ochoa Lezaun, Gustavo ; Bustince Sola, Humberto (Taylor & Francis, 2019)
Artículo / Artikulua
Ordered Weighted Averaging (OWA) operators are a profusely applied class of averaging aggregation functions, i.e. operators that always yield a value between the minimum and the maximum of the inputs. The orness measure ... -
Orness measurements for lattice m-dimensional interval-valued OWA operators
Miguel Turullols, Laura de; Paternain Dallo, Daniel ; Lizasoain Iriso, María Inmaculada ; Ochoa Lezaun, Gustavo ; Bustince Sola, Humberto (Elsevier, 2018)
Artículo / Artikulua
Ordered weighted average (OWA) operators are commonly used to aggregate information in multiple situations, such as decision making problems or image processing tasks. The great variety of weights that can be chosen to ... -
OWA operators based on admissible permutations
Paternain Dallo, Daniel; Jin, LeSheng; Mesiar, Radko; Vavríková, Lucia; Bustince Sola, Humberto (IEEE, 2019)
Contribución a congreso / Biltzarrerako ekarpena
In this work we propose a new OWA operator defined on bounded convex posets of a vector-lattice. In order to overcome the non-existence of a total order, which is necessary to obtain a non-decreasing arrangement of the ... -
Pointwise aggregation of maps: its structural functional equation and some applications to social choice theory
Miguel Turullols, Laura de; Campión Arrastia, María Jesús ; Candeal, Juan Carlos; Induráin Eraso, Esteban ; Paternain Dallo, Daniel (Elsevier, 2017)
Artículo / Artikulua
We study a structural functional equation that is directly related to the pointwise aggregation of a finite number of maps from a given nonempty set into another. First we establish links between pointwise aggregation and ... -
Some characterizations of lattice OWA operators
Miguel Turullols, Laura de; Paternain Dallo, Daniel ; Lizasoain Iriso, María Inmaculada ; Ochoa Lezaun, Gustavo ; Bustince Sola, Humberto (World Scientific Publishing Company, 2017)
Artículo / Artikulua
Ordered Weighted Averaging (OWA) operators are a family of aggregation which fusion data. If the data are real numbers, then OWA operators can be characterized either as an special kind of Choquet integral or simply as an ... -
A study of different families of fusion functions for combining classifiers in the one-vs-one strategy
Uriz Martín, Mikel Xabier; Paternain Dallo, Daniel ; Jurío Munárriz, Aránzazu ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Springer, 2018)
Contribución a congreso / Biltzarrerako ekarpena
In this work we study the usage of different families of fusion functions for combining classifiers in a multiple classifier system of One-vs-One (OVO) classifiers. OVO is a decomposition strategy used to deal with multi-class ... -
A survey of fingerprint classification Part I: taxonomies on feature extraction methods and learning models
Galar Idoate, Mikel; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel ; López Molina, Carlos ; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Herrera, Francisco (Elsevier, 2015)
Artículo / Artikulua
This paper reviews the fingerprint classification literature looking at the problem from a double perspective. We first deal with feature extraction methods, including the different models considered for singular point ... -
A survey of fingerprint classification Part II: experimental analysis and ensemble proposal
Galar Idoate, Mikel; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel ; López Molina, Carlos ; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Herrera, Francisco (Elsevier, 2015)
Artículo / Artikulua
In the first part of this paper we reviewed the fingerprint classification literature from two different perspectives: the feature extraction and the classifier learning. Aiming at answering the question of which among the ... -
A survey on fingerprint minutiae-based local matching for verification and identification: taxonomy and experimental evaluation
Peralta, Daniel; Galar Idoate, Mikel; Triguero, Isaac; Paternain Dallo, Daniel ; García, Salvador; Barrenechea Tartas, Edurne ; Benítez, José Manuel; Bustince Sola, Humberto ; Herrera, Francisco (Elsevier, 2015)
Artículo / Artikulua
Fingerprint recognition has found a reliable application for verification or identification of people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several perceptions observed by the experts; ...
