Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Simon Streicher"'
Autor:
Simon Streicher, Johan A. Du Preez
Publikováno v:
IEEE Access, Vol 9, Pp 149423-149432 (2021)
Probabilistic graphical models (PGMs) are powerful tools for solving systems of complex relationships over a variety of probability distributions. However, while tree-structured PGMs always result in efficient and exact solutions, inference on graph
Externí odkaz:
https://doaj.org/article/8db894f4a89a4f99b9f59e778cd426a1
Publikováno v:
Data, Vol 4, Iss 1, p 10 (2019)
When it comes to land cover classification, the process of deriving the land classes is complex due to possible errors in algorithms, spatio-temporal heterogeneity of the Earth observation data, variation in availability and quality of reference data
Externí odkaz:
https://doaj.org/article/48b5ac1de84c49cfb3ebf58d15133138
We present a means of formulating and solving the well known structure-and-motion problem in computer vision with probabilistic graphical models. We model the unknown camera poses and 3D feature coordinates as well as the observed 2D projections as G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6041e2e47f890125e6efcea08e645a44
http://arxiv.org/abs/2110.03792
http://arxiv.org/abs/2110.03792
Autor:
Johan A. du Preez, Simon Streicher
Publikováno v:
IEEE Access, Vol 9, Pp 149423-149432 (2021)
Probabilistic graphical models (PGMs) are powerful tools for solving systems of complex relationships over a variety of probability distributions. However, while tree-structured PGMs always result in efficient and exact solutions, inference on graph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffd24ed656b423042c89068175352cc8
Autor:
Simon Streicher, Johan A. du Preez
Publikováno v:
Proceedings of the ACM Multimedia 2017 Workshop on South African Academic Participation.
We present a means of formulating and solving graph coloring problems with probabilistic graphical models. In contrast to the prevalent literature that uses factor graphs for this purpose, we instead approach it from a cluster graph perspective. Sinc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8ed46a64809b797765882a643ecd4e9
https://doi.org/10.1145/3132711.3132717
https://doi.org/10.1145/3132711.3132717
Publikováno v:
Data, Vol 4, Iss 1, p 10 (2019)
Data
Volume 4
Issue 1
Data
Volume 4
Issue 1
When it comes to land cover classification, the process of deriving the land classes is complex due to possible errors in algorithms, spatio-temporal heterogeneity of the Earth observation data, variation in availability and quality of reference data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d78178d48a852d7062c2d3101a6c391
https://doi.org/10.3390/data4010010
https://doi.org/10.3390/data4010010
Publikováno v:
SPIE Proceedings.
Mie theory describes the scattering of electromagnetic waves on spheroidal particles whose diameter is comparable to the wavelength of the incident radiation. We have implemented a parallel algorithm using graphics adapters to calculate perpendicular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8362e4ce563d540557d00dd296e98dcb
https://doi.org/10.1117/12.2003799
https://doi.org/10.1117/12.2003799
Publikováno v:
Applied Optics. 55:3887
The Monte Carlo simulation of light propagation in optical systems requires the processing of a large number of photons to achieve a satisfactory statistical accuracy. Based on classical Mie scattering, we experimentally show that the independence of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a959afeb97dad43b84f0327fd47e63d
https://doi.org/10.1364/ao.55.003887
https://doi.org/10.1364/ao.55.003887
Autor:
Simon Streicher Brand
Publikováno v:
Agrekon. 31:1-2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91878b82fc75fffe20dcbf23657b9f58
https://doi.org/10.1080/03031853.1992.9524260
https://doi.org/10.1080/03031853.1992.9524260