Browsing by UPNA Author "Pagola Barrio, Miguel"
Now showing items 1-14 of 14
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Co-occurrence of deep convolutional features for image search
Image search can be tackled using deep features from pre-trained Convolutional Neural Networks (CNN). The feature map from the last convolutional layer of a CNN encodes descriptive information from which a discriminative ... -
Extensions of fuzzy sets in image processing: an overview
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 ... -
A historical account of types of fuzzy sets and their relationships
In this work we review the definition and basic properties of the different types of fuzzy sets that have appeared up to now in the literature. We also analyze the relationships between them and enumerate some of the ... -
Image feature extraction using OD-monotone functions
Edge detection is a basic technique used as a preliminary step for, e.g., object extraction and recognition in image processing. Many of the methods for edge detection can be fit in the breakdown structure by Bezdek, ... -
Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: towards a wider view on their relationship
In this paper, we will present a wider view on the relationship between interval-valued fuzzy sets and interval type- 2 fuzzy sets where we will show that interval-valued fuzzy sets are a particular case of the interval ... -
Learning ordered pooling weights in image classification
Spatial pooling is an important step in computer vision systems like Convolutional Neural Networks or the Bag-of-Words method. The spatial pooling purpose is to combine neighbouring descriptors to obtain a single descriptor ... -
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system
Objective: To develop a classifier that tackles the problem of determining the risk of a patient of suffering from a cardiovascular disease within the next ten years. The system has to provide both a diagnosis and an ... -
Moderate deviation and restricted equivalence functions for measuring similarity between data
In this work we study the relation between moderate deviation functions, restricted dissimilarity functions and restricted equivalence functions. We use moderate deviation functions in order to measure the similarity or ... -
New measures for comparing matrices and their application to image processing
In this work we present the class of matrix resemblance functions, i.e., functions that measure the difference between two matrices. We present two construction methods and study the properties that matrix resemblance ... -
Nuevos métodos para la combinación de características en procesamiento de imágenes
En esta memoria estudiamos diferentes problemas abiertos entorno a la agregación de información y presentamos el estudio de nuevas técnicas de agregación de características de imágenes para mejorar el rendimiento en los ... -
Paired structures in knowledge representation
In this position paper we propose a consistent and unifying view to all those basic knowledge representation models that are based on the existence of two somehow opposite fuzzy concepts. A number of these basic models can ... -
A survey of fingerprint classification Part I: taxonomies on feature extraction methods and learning models
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
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 ... -
Unbalanced interval-valued OWA operators
In this work, we introduce a new class of functions defned on the interval-valued setting. These functions extend classical OWA operators but allow for diferent weighting vectors to handle the lower bounds and the ...