Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Diana Porro Muñoz"'
Autor:
Yumirka Comesaña García, Ángel Dago Morales, Isneri Talavera Bustamante, Reinaldo Fernández Fernández, Diana Porro Muñoz
Publikováno v:
Revista CENIC Ciencias Químicas, Vol 40, Iss 2, Pp 89-94 (2009)
En la industria de refinación del petróleo es frecuente el uso de crudos de diferentes orígenes, lo que origina variaciones apreciables en la composición química de los productos obtenidos durante el proceso de refinación. La aplicación de las
Externí odkaz:
https://doaj.org/article/81b2b4fea80e48dbb570ac2bd8860f3e
Autor:
Nusrat Sharmin, Eleftherios Garyfallidis, Diana Porro-Muñoz, Paolo Avesani, Emanuele Olivetti, Thien Bao Nguyen
Publikováno v:
Data Mining and Knowledge Discovery. 29:1258-1279
Diffusion magnetic resonance imaging data allows reconstructing the neural pathways of the white matter of the brain as a set of 3D polylines. This kind of data sets provides a means of study of the anatomical structures within the white matter, in o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::782ac480b34a5ce647dddc5a1450f69a
https://doi.org/10.1007/s10618-015-0408-z
https://doi.org/10.1007/s10618-015-0408-z
Autor:
Dania Porro Muñoz, Diana Porro Muñoz, Noslen Hernández, Yoanna Martínez-Díaz, Francisco José Silva Mata, Isneri Talavera Bustamante, Lázaro Bustio Martínez
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319058849
Computational Intelligence in Digital Forensics
Computational Intelligence in Digital Forensics
The combination of computational methods and the techniques of Thin Layer Chromatography (TLC), Ultraviolet (UV) and Gas Chromatography (GC), brings significant improvements in the speed and accuracy of the analysis and identification of drugs of abu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a260679de96238c26d54d89eafa055d
https://doi.org/10.1007/978-3-319-05885-6_10
https://doi.org/10.1007/978-3-319-05885-6_10
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642418211
CIARP (1)
CIARP (1)
Missing values can occur frequently in many real world situations. Such is the case of multi-way data applications, where objects are usually represented by arrays of 2 or more dimensions e.g.i¾?biomedical signals that can be represented as time-fre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef74bd96d404eb4e6afc4b4fc14d2df6
https://doi.org/10.1007/978-3-642-41822-8_27
https://doi.org/10.1007/978-3-642-41822-8_27
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642332746
CIARP
CIARP
For many applications, a straightforward representation of objects is by multi-dimensional arrays e.g. signals. However, there are only a few classification tools which make a proper use of this complex structure to obtain a better discrimination bet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7875318f7f036fa9e5c26ce14d1f90c6
https://doi.org/10.1007/978-3-642-33275-3_53
https://doi.org/10.1007/978-3-642-33275-3_53
Publikováno v:
Signal Processing
Representation of objects by multi-dimensional data arrays has become very common for many research areas e.g. image analysis, signal processing and chemometrics. In most cases, it is the straightforward representation obtained from sophisticated mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a7f9220e166e3b326f1a3c10dc1bdae
Autor:
Mauricio Orozco-Alzate, Diana Porro-Muñoz, Isneri Talavera, Noslen Hernández, Robert P. W. Duin
Publikováno v:
Journal of Chemometrics
In chemometrics, spectral data are typically represented by vectors of features in spite of the fact that they are usually plotted as functions of e.g. wavelengths and concentrations. In the representation, this functional information is thereby not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b1c8b43cad476263e040ea93bb2296e
Publikováno v:
Similarity-Based Pattern Recognition ISBN: 9783642244704
SIMBAD
SIMBAD
Classification of spectral data has raised a growing interest in may research areas. However, this type of data usually suffers from the curse of dimensionality. This causes most statistical methods and/or classifiers to not perform well. A recently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::795c353f8d277a6d49f9ec0fbfdefa60
https://doi.org/10.1007/978-3-642-24471-1_22
https://doi.org/10.1007/978-3-642-24471-1_22
Autor:
Isneri Talavera, Robert P. W. Duin, Mauricio Orozco-Alzate, John Makario Londoño-Bonilla, Diana Porro-Muñoz
Publikováno v:
ICPR
Multi-way data analysis is a multivariate data analysis technique having a wide application in some fields. Nevertheless, the development of classification tools for this type of representation is incipient yet. In this paper we study the dissimilari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c91aa9805cfe2bacf078466012e8805b
https://doi.org/10.1109/icpr.2010.205
https://doi.org/10.1109/icpr.2010.205
Autor:
John Makario Londoño-Bonilla, Diana Porro-Muñoz, Isneri Talavera, Robert P. W. Duin, Mauricio Orozco-Alzate
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642149795
SSPR/SPR
SSPR/SPR
The dissimilarity representation has demonstrated advantages in the solution of classification problems. Meanwhile, the representation of objects by multi-dimensional arrays is necessary in many research areas. However, the development of proper clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cd06d843375b3bc5fbd0131292ca528
https://doi.org/10.1007/978-3-642-14980-1_56
https://doi.org/10.1007/978-3-642-14980-1_56