Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Deni Torres-Román"'
Autor:
Joel Trejo-Sanchez, Francisco Manzano-Pinzón, Luis Rizo-Dominguez, Jesús Argaez-Xool, Deni Torres-Román, Julio Ramírez-Pacheco
Publikováno v:
Entropy, Vol 14, Iss 8, Pp 1478-1500 (2012)
Abstract: This article first introduces the concept of wavelet q-Fisher information and then derives a closed-form expression of this quantifier for scaling signals of parameter α. It is shown that this information measure appropriately describes th
Externí odkaz:
https://doaj.org/article/96462c7df73c4e0290fd4ed052cfc1c4
Autor:
Julio Ramírez-Pacheco, Deni Torres-Román, Luis Rizo-Dominguez, Joel Trejo-Sanchez, Francisco Manzano-Pinzón
Publikováno v:
Entropy, Vol 13, Iss 9, Pp 1648-1663 (2011)
This article defines the concept of wavelet-based Fisher’s information measure (wavelet FIM) and develops a closed-form expression of this measure for 1=f α signals. Wavelet Fisher’s information measure characterizes the complexities associated
Externí odkaz:
https://doaj.org/article/8fc185952801440988438aa55164586a
Autor:
Israel Yañez-Vargas, Ramón Parra-Michel, Josué López-Ruíz, Deni Torres-Román, Felipe Astudillo-Montenegro
Publikováno v:
Journal of Technology and Innovation. :15-21
Bathymetry is a method of quantifying depths to study the topography of water bodies, including oceans, seas, rivers and lakes. The measurement of bathymetry by means of satellite images is one of the fundamental investigations in the field of remote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ad6bdd2291fc28cc2b3bc905e000e47
https://doi.org/10.35429/jti.2019.19.6.15.21
https://doi.org/10.35429/jti.2019.19.6.15.21
Publikováno v:
Sensors, Vol 24, Iss 23, p 7463 (2024)
Since multi-view learning leverages complementary information from multiple feature sets to improve model performance, a tensor-based data fusion layer for neural networks, called Multi-View Data Tensor Fusion (MV-DTF), is used. It fuses M feature sp
Externí odkaz:
https://doaj.org/article/cb6815bf52f74fed9dee7465b6ca3e35
Publikováno v:
2016 IEEE MTT-S Latin America Microwave Conference (LAMC).
Modern sum of Kronecker Products decomposition technique for multi-polarimetric multi-baseline SAR tomography of forested scenes results in rank-deficient data covariance matrices (CV) restricting the usage of the conventional Capon beamforming-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6989549bc9fd5a60f9edccd99723743d
https://doi.org/10.1109/lamc.2016.7851240
https://doi.org/10.1109/lamc.2016.7851240
Autor:
Francisco Manzano-Pinzón, Julio Ramírez-Pacheco, Joel Antonio Trejo-Sánchez, Luis Rizo-Dominguez, Deni Torres-Román
Publikováno v:
Entropy, Vol 13, Iss 9, Pp 1648-1663 (2011)
Entropy
Volume 13
Issue 9
Pages 1648-1663
Entropy
Volume 13
Issue 9
Pages 1648-1663
This article defines the concept of wavelet-based Fisher’s information measure (wavelet FIM) and develops a closed-form expression of this measure for 1=f α signals. Wavelet Fisher’s information measure characterizes the complexities associated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8098a40e2e52440f7a9809257c0128b3
https://doi.org/10.3390/e13091648
https://doi.org/10.3390/e13091648
Publikováno v:
Mathematical Problems in Engineering, Vol 2012 (2012)
Classification of processes as stationary or nonstationary has been recognized as an important and unresolved problem in the analysis of scaling signals. Stationarity or nonstationarity determines not only the form of autocorrelations and moments but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f97613d1e121814c7efe8459a2cc53
Autor:
David Muñoz-Rodríguez, Salvador Villarreal Reyes, Cesar Vargas Rosales, Marlenne Angulo Bernal, Deni Torres-Román, Luis Rizo Domínguez
Publikováno v:
Instituto Tecnológico y de Estudios Superiores de Monterrey
ITESM
Redalyc-ITESM
ITESM
Redalyc-ITESM
Adequate quality of IP services demands low transmission delays. However, packets traveling in a network are sub-ject to a variety of delays that, in real-time applications, severely degrade the quality of service (QoS). This paper presents a general
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::a8388f6a812ad5253bae1f86d2262241
http://www.redalyc.org/articulo.oa?id=61501103
http://www.redalyc.org/articulo.oa?id=61501103
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1399 (2023)
The present work, unlike others, does not try to reduce the noise in hyperspectral images to increase the semantic segmentation performance metrics; rather, we present a classification framework for noisy Hyperspectral Images (HSI), studying the clas
Externí odkaz:
https://doaj.org/article/b9f461710bb847eb841b010b856051d2
Publikováno v:
Entropy, Vol 17, Iss 9, Pp 6239-6257 (2015)
Network anomaly detection and classification is an important open issue in network security. Several approaches and systems based on different mathematical tools have been studied and developed, among them, the Anomaly-Network Intrusion Detection Sys
Externí odkaz:
https://doaj.org/article/ad1fae4aa1464f6c8982e60351191cbd