Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gehová López-González"'
Autor:
Carlos Villaseñor, Alberto A. Gallegos, Gehova Lopez-Gonzalez, Javier Gomez-Avila, Jesus Hernandez-Barragan, Nancy Arana-Daniel
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 7997 (2021)
The research in path planning for unmanned aerial vehicles (UAV) is an active topic nowadays. The path planning strategy highly depends on the map abstraction available. In a previous work, we presented an ellipsoidal mapping algorithm (EMA) that was
Externí odkaz:
https://doaj.org/article/6be1b3aba093471a8863814a5d002295
Autor:
Carlos Villaseñor, Alberto A. Gallegos, Javier Gomez-Avila, Gehová López-González, Jorge D. Rios, Nancy Arana-Daniel
Publikováno v:
Applied Sciences, Vol 10, Iss 14, p 4991 (2020)
Environment classification is one of the most critical tasks for Unmanned Aerial Vehicles (UAV). Since water accumulation may destabilize UAV, clouds must be detected and avoided. In a previous work presented by the authors, Superpixel Segmentation (
Externí odkaz:
https://doaj.org/article/00ff0c1f50f3402bae054b99de30c478
Autor:
Jesus Hernandez-Barragan, Nancy Arana-Daniel, Carlos Villaseñor, Alberto A. Gallegos, Gehová López-González, Javier Gomez-Avila
Publikováno v:
Applied Sciences
Volume 11
Issue 17
Applied Sciences, Vol 11, Iss 7997, p 7997 (2021)
Volume 11
Issue 17
Applied Sciences, Vol 11, Iss 7997, p 7997 (2021)
The research in path planning for unmanned aerial vehicles (UAV) is an active topic nowadays. The path planning strategy highly depends on the map abstraction available. In a previous work, we presented an ellipsoidal mapping algorithm (EMA) that was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d0366621f4b4272d5aa582090e92b5f
Autor:
Gehová López-González
In this work we present a new offline application of regression analysis. The idea is to increase video quality with the use of support vector machines. This allows us to reduce noise and increase the resolution and the number of frames per second.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7612add2d66a0e4e027cb9d3b4bc00a5
https://doi.org/10.1016/b978-0-12-818247-5.00015-0
https://doi.org/10.1016/b978-0-12-818247-5.00015-0
Publikováno v:
Intelligent Data Analysis. 20:S109-S119
This paper presents the Quaternion Support Vector Machines for classification as a generalization of the real- and complex- valued Support Vector Machines. In this framework we handle the design of kernels involving the Clifford or quaternion product
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d6e7dc374565a289af43880ed4e56f5
https://doi.org/10.3233/ida-160849
https://doi.org/10.3233/ida-160849
Publikováno v:
Advances in Applied Clifford Algebras. 26:1045-1059
Traditional methods for geometric entities resort to the Hough transform and tensor voting schemes for detect lines and circles. In this work, the authors extend these approaches using representations in terms of k-vectors of the Conformal Geometric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75bd8dc82d89999dcbdf6aad5e17b150
https://doi.org/10.1007/s00006-015-0589-y
https://doi.org/10.1007/s00006-015-0589-y
Publikováno v:
Advanced Information Systems Engineering ISBN: 9783642387081
CIARP
CIARP
This paper presents the Quaternion Support Vector Machines for classification as a generalization of the real- and complex- valued Support Vector Machines. In this framework we handle the design of kernels involving the Clifford or quaternion product
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::763d185fce7d7458d512e90d7f3ea473
https://doi.org/10.1007/978-3-319-12568-8_88
https://doi.org/10.1007/978-3-319-12568-8_88
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642418211
CIARP (1)
CIARP (1)
This work presents a new method to apply the Hough Transform to 2D and 3D cloud points using the conformal geometric algebra framework. The objective is to detect geometric entities, with the use of simple parametric equations and the properties of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6458acebc5ed686875ce1a0ccc960751
https://doi.org/10.1007/978-3-642-41822-8_10
https://doi.org/10.1007/978-3-642-41822-8_10