Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Daniel Oñoro-Rubio"'
Autor:
Roberto J. López-Sastre, Carlos Herranz-Perdiguero, Ricardo Guerrero-Gómez-Olmedo, Daniel Oñoro-Rubio, Saturnino Maldonado-Bascón
Publikováno v:
Sensors, Vol 19, Iss 19, p 4062 (2019)
In this work, we address the problem of multi-vehicle detection and tracking for traffic monitoring applications. We preset a novel intelligent visual sensor for tracking-by-detection with simultaneous pose estimation. Essentially, we adapt an Extend
Externí odkaz:
https://doaj.org/article/af266947dd06450e9e18a83cc6f0a544
Autor:
Pierre Olivier, Mathias Niepert, Daniel Oñoro-Rubio, Hugo Lefeuvre, Alexander Jung, Felipe Huici, Charalampos Rotsos
Publikováno v:
APSys
Tuning operating systems configuration in order to obtain the maximum application performance is a hard problem. This is due to the extremely large size of the configuration space offered by modern OSes, and to the fact that it is generally explored
Publikováno v:
ISBI
Multi-label classification of chest X-ray images is frequently performed using discriminative approaches, i.e. learning to map an image directly to its binary labels. Such approaches make it challenging to incorporate auxiliary information such as an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f7521dd75f15c5fe4f45aa0a3f45ead
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85107217195
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85107217195
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030454388
ECIR (1)
ECIR (1)
The text of a review expresses the sentiment a customer has towards a particular product. This is exploited in sentiment analysis where machine learning models are used to predict the review score from the text of the review. Furthermore, the product
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dad97a56f299b89ed06f4dcc55eea460
https://doi.org/10.1007/978-3-030-45439-5_16
https://doi.org/10.1007/978-3-030-45439-5_16
Autor:
Saturnino Maldonado-Bascón, Ricardo Guerrero-Gómez-Olmedo, Daniel Oñoro-Rubio, Roberto J. López-Sastre, Carlos Herranz-Perdiguero
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 19
Sensors, Vol 19, Iss 19, p 4062 (2019)
Sensors
Volume 19
Issue 19
Sensors, Vol 19, Iss 19, p 4062 (2019)
In this work, we address the problem of multi-vehicle detection and tracking for traffic monitoring applications. We preset a novel intelligent visual sensor for tracking-by-detection with simultaneous pose estimation. Essentially, we adapt an Extend
Autor:
Alberto Garcia-Duran, Mathias Niepert, Ye Liu, Daniel Oñoro-Rubio, David S. Rosenblum, Hui Li
Publikováno v:
The Semantic Web ISBN: 9783030213473
ESWC
ESWC
We present MMKG, a collection of three knowledge graphs that contain both numerical features and (links to) images for all entities as well as entity alignments between pairs of KGs. Therefore, multi-relational link prediction and entity matching com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::facd964cb8608ef5bc162470cefb8530
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464770
ECCV (7)
ECCV (7)
In this paper we address the problem of counting objects instances in images. Our models are able to precisely estimate the number of vehicles in a traffic congestion, or to count the humans in a very crowded scene. Our first contribution is the prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::651689dcca63ee539a005991842a422c
https://doi.org/10.1007/978-3-319-46478-7_38
https://doi.org/10.1007/978-3-319-46478-7_38
Publikováno v:
Signal Processing. 92:270-275
This paper presents a novel approach for accelerating the popular reciprocal nearest neighbors (RNN) clustering algorithm, i.e. the fast-RNN. We speed up the nearest neighbor chains construction via a novel dynamic slicing strategy for the projection
Autor:
Saturnino Maldonado-Bascón, Ricardo Guerrero-Gómez-Olmedo, Beatriz Torre-Jiménez, Roberto J. López-Sastre, Daniel Oñoro-Rubio
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783319193892
IbPRIA
IbPRIA
The challenging problem that we explore in this paper is to precisely estimate the number of vehicles in an image of a traffic congestion situation. We start introducing TRANCOS, a novel database for extremely overlapping vehicle counting. It provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24a8541d666ffa8dbb38bdc9d71ebde2
https://doi.org/10.1007/978-3-319-19390-8_48
https://doi.org/10.1007/978-3-319-19390-8_48