Browsing Artículos de revista DEIM - EIMS Aldizkari artikuluak by UPNA Author "Pagola Barrio, Miguel"
Now showing items 1-3 of 3
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Co-occurrence of deep convolutional features for image search
Forcén Carvalho, Juan Ignacio; Pagola Barrio, Miguel
; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto (Elsevier, 2020)
Artículo / Artikulua 
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 ... -
Learning ordered pooling weights in image classification
Forcén Carvalho, Juan Ignacio; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto (Elsevier, 2020)
Artículo / Artikulua
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 ... -
Moderate deviation and restricted equivalence functions for measuring similarity between data
Altalhi, A. H.; Forcén Carvalho, Juan Ignacio; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Takáč, Zdenko (Elsevier, 2019)
Artículo / Artikulua
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 ...
