Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Francisco José Silva Mata"'
Autor:
Manuel Alvarez-Prieto, Amaury Borges-Miranda, Francisco José Silva-Mata, Isneri Talavera-Bustamante, Juan Jiménez-Chacón, Carlos S. Perez-Martinez
Publikováno v:
Chemical Papers. 75:4075-4091
The selection of lots of raw materials to be used in tobacco products’ blends, especially for Premium cigars, holds a high degree of subjectivity. To overcome this, it is proposed a methodology to choose, among the available lots, only those which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e82ca55fbc51ee171eb6325d3c0e00fa
https://doi.org/10.1007/s11696-021-01577-z
https://doi.org/10.1007/s11696-021-01577-z
Autor:
Konstantin B. Bulatov, Rubén Sánchez-Rivero, Annette Morales-González, Pavel Bezmaternykh, Francisco José Silva-Mata
Publikováno v:
Progress in Artificial Intelligence and Pattern Recognition ISBN: 9783030896904
IWAIPR
IWAIPR
Text recognition has been one of the areas greatly benefited from deep learning (DL) development, as well as the preprocessing methods contained in its workflow. Within the document analysis field, identity (ID) documents play a crucial role and shou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3be2d877236dc74be83e2ed97b54b25
https://doi.org/10.1007/978-3-030-89691-1_14
https://doi.org/10.1007/978-3-030-89691-1_14
Autor:
Andrés Gago-Alonso, David Estevez-Bresó, Isneri Talavera-Bustamante, Niusvel Acosta-Mendoza, Catherine Jiménez, Gabriela Barcas, Francisco José Silva-Mata
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686
CIARP
CIARP
The determination of characteristics by regression models using bio-chemical data from analytical techniques such as Near Infrared Spectrometry and Nuclear Magnetic Resonance is a common activity within the recognition of substances and their chemica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90d2d099f768edaaaa722b7719cd2f83
https://doi.org/10.1007/978-3-030-13469-3_8
https://doi.org/10.1007/978-3-030-13469-3_8
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036
CIARP
CIARP
The use of the ear in biometric recognition has been widely covered in controlled environments. However, the advantages of the ear as a biometric characteristic impose the need to know how it behaves in unconstrained scenarios, where it is common the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f33fedd57afc0ecc20a92d575b3f2c1
https://doi.org/10.1007/978-3-030-33904-3_26
https://doi.org/10.1007/978-3-030-33904-3_26
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319751924
CIARP
CIARP
Nowadays, video surveillance systems are very used to safeguard airport areas, train stations, public places, among others. Using these systems, the person re-identification is an automated task. However, there are many problems that affect the good
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::432f641ae5dd530aed398afc3746fcc0
https://doi.org/10.1007/978-3-319-75193-1_41
https://doi.org/10.1007/978-3-319-75193-1_41
Autor:
Guillermo Aguirre-Carrazana, Edel García-Reyes, Alejandro Valdés-Camejo, Francisco José Silva-Mata, Raul Alonso-Baryolo, Annette Morales-González
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319751924
CIARP
CIARP
The height of a person can be used as a Soft Biometrics feature in surveillance scenarios. The automatic estimation of pedestrian height have been addressed mostly on calibrated cameras. We are proposing a new method for real height estimation in vid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9cf9a14244c52d1c021a05f96c45e3b
https://doi.org/10.1007/978-3-319-75193-1_82
https://doi.org/10.1007/978-3-319-75193-1_82
Autor:
Yenisel Plasencia Calana, Maria De Marsico, Isneri Talavera Bustamante, Victor Mendiola-Lau, Francisco José Silva Mata
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319751924
CIARP
CIARP
The identification and classification of bio-chemical substances are very important tasks in chemical, biological and forensic analysis. In this work we present a new strategy to improve the accuracy of the supervised classification of this type of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b685ed9812741d7d4a387aec7c1c9cfa
https://doi.org/10.1007/978-3-319-75193-1_45
https://doi.org/10.1007/978-3-319-75193-1_45
Autor:
Alfredo Muñoz-Briseño, Stefano Berretti, Elaine Grenot Castellanos, Isneri Talavera-Bustamante, Francisco José Silva Mata
Publikováno v:
Image Analysis and Processing-ICIAP 2017 ISBN: 9783319685472
ICIAP (2)
ICIAP (2)
This work introduces a new approach for face recognition based on 3D scans. The main idea of the proposed method is that of converting the 3D face scans into a functional representation, performing all the subsequent processing in the continuous spac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44d1e0c735210f79c5ee71592792ad4b
https://doi.org/10.1007/978-3-319-68548-9_1
https://doi.org/10.1007/978-3-319-68548-9_1
Autor:
Victor Mendiola-Lau, Francisco José Silva Mata, Yoanna Martínez-Díaz, Maria De Marsico, Isneri Talavera Bustamante
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319522760
CIARP
CIARP
This paper presents a novel automatic pattern recognition system for the classification of herbal substances, which comprises the analysis of chemical data obtained from three analytical techniques such as Thin Layer Chromatography (TLC), Gas Chromat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47d9947193548b071b0eedc24809f392
https://doi.org/10.1007/978-3-319-52277-7_29
https://doi.org/10.1007/978-3-319-52277-7_29
Autor:
Eduardo Garea Llano, Noslen Hernández González, Isneri Talavera Bustamante, Francisco José Silva Mata, Ricardo González Gazapo
Publikováno v:
Analytica Chimica Acta. 595:145-151
A comparative study of four enhancement algorithms traditionally used in computer vision for photometric normalization of images affected by illumination changes is presented in this paper. We experimented with the performance of these approaches to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abafb230c228fdc1b09529ec49559cad
https://doi.org/10.1016/j.aca.2006.12.044
https://doi.org/10.1016/j.aca.2006.12.044