Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Stefan B Williams"'
Autor:
Renata Ferrari, Ezequiel M Marzinelli, Camila Rezende Ayroza, Alan Jordan, Will F Figueira, Maria Byrne, Hamish A Malcolm, Stefan B Williams, Peter D Steinberg
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0193711 (2018)
Marine protected areas (MPAs) are designed to reduce threats to biodiversity and ecosystem functioning from anthropogenic activities. Assessment of MPAs effectiveness requires synchronous sampling of protected and non-protected areas at multiple spat
Externí odkaz:
https://doaj.org/article/ac425a164702498ca2022ce5cffa0c76
Autor:
Ezequiel M Marzinelli, Stefan B Williams, Russell C Babcock, Neville S Barrett, Craig R Johnson, Alan Jordan, Gary A Kendrick, Oscar R Pizarro, Dan A Smale, Peter D Steinberg
Publikováno v:
PLoS ONE, Vol 10, Iss 2, p e0118390 (2015)
Despite the significance of marine habitat-forming organisms, little is known about their large-scale distribution and abundance in deeper waters, where they are difficult to access. Such information is necessary to develop sound conservation and man
Externí odkaz:
https://doaj.org/article/48e6aad38f8e4352b1863b1c32c470cf
Autor:
Tom C L Bridge, Renata Ferrari, Mitch Bryson, Renae Hovey, Will F Figueira, Stefan B Williams, Oscar Pizarro, Alastair R Harborne, Maria Byrne
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e113079 (2014)
High-latitude reefs support unique ecological communities occurring at the biogeographic boundaries between tropical and temperate marine ecosystems. Due to their lower ambient temperatures, they are regarded as potential refugia for tropical species
Externí odkaz:
https://doaj.org/article/8e8087564fed4059b6b06a15dfe6639e
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e111522 (2014)
We propose a method for estimating the clustering parameters in a Neyman-Scott Poisson process using Gaussian process regression. It is assumed that the underlying process has been observed within a number of quadrats, and from this sparse informatio
Externí odkaz:
https://doaj.org/article/56634602e7024b6194223232ba1cb81a
Publikováno v:
PLoS ONE, Vol 7, Iss 12, p e50440 (2012)
This paper demonstrates how multi-scale measures of rugosity, slope and aspect can be derived from fine-scale bathymetric reconstructions created from geo-referenced stereo imagery. We generate three-dimensional reconstructions over large spatial sca
Externí odkaz:
https://doaj.org/article/810301bda1344d87ad422188835b7e1e
Publikováno v:
Sensors, Vol 20, Iss 16, p 4580 (2020)
Estimating depth from a single image is a challenging problem, but it is also interesting due to the large amount of applications, such as underwater image dehazing. In this paper, a new perspective is provided; by taking advantage of the underwater
Externí odkaz:
https://doaj.org/article/2aed74df6f534cb981b388f100788bd6
Publikováno v:
IEEE Robotics and Automation Letters. 6:7017-7024
Systems with a manipulator and a mobile base, such as in aerial and underwater applications, are susceptible to disturbances which create difficulties in maintaining a desired end effector pose. However, kinematically redundant vehicle manipulator sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::188e591c4f0fccfb0ed63db3356d358c
https://doi.org/10.1109/lra.2021.3097067
https://doi.org/10.1109/lra.2021.3097067
Autor:
Miquel Massot-Campos, Stefan B. Williams, Takaki Yamada, Oscar Pizarro, Adam Prügel-Bennett, Blair Thornton
Publikováno v:
Leveraging Metadata in Representation Learning With Georeferenced Seafloor Imagery
Camera equipped Autonomous Underwater Vehicles (AUVs) are now routinely used in seafloor surveys. Obtaining effective representations from the images they collect can enable perception-aware robotic exploration such as information-gain-guided path pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01990293144becde97e7bd52b8eaf2e3
https://doi.org/10.1109/lra.2021.3101881
https://doi.org/10.1109/lra.2021.3101881
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2929dc16ff61cc66c0ab7392dc5f704
https://doi.org/10.1109/icra46639.2022.9811786
https://doi.org/10.1109/icra46639.2022.9811786
Autor:
Takaki Yamada, Miquel Massot-Campos, Adam Prugel-Bennett, Oscar Pizarro, Stefan B. Williams, Blair Thornton
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
We describe a novel semi-supervised learning method that reduces the labelling effort needed to train convolutional neural networks (CNNs) when processing georeferenced imagery. This allows deep learning CNNs to be trained on a per-dataset basis, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2330282b5270f11ccbcaf5970931057
https://pubmed.ncbi.nlm.nih.gov/34982674
https://pubmed.ncbi.nlm.nih.gov/34982674