Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(410 1). Showing records 1 – 3 of 3 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Université Laval

1. Fortier, Simon. The prolegomenon to Proclus’ Platonic theology : an introduction, translation, and commentary of chapters 1-7 of Book I of the Platonic theology.

Degree: 2014, Université Laval

Tableau d'honneur de la Faculté des études supérieures et postdorales, 2014-2015

Bien qu’elle représente son opus magnum, la Théologie platonicienne de Proclus a souvent été négligée par les études néoplatoniciennes récentes. Hormis l’importante édition et traduction de cette œuvre dans la Collection des Universités de France (Proclus, Théologie platonicienne, 6 vol., éd. H. D. Saffrey et L. G. Westerink, Paris, 1968-1997), et le Festschrift qui l’a célébrée par la suite (Proclus et la théologie platonicienne, Actes du Colloque International de Louvain [13-16 mai 1998], en l'honneur de H. D. Saffrey et L. G. Westerink (†), éd. A. Ph. Segonds (†) et C. Steel, , Leuven/Paris, 2000), peu de travaux ont été consacrés à la Théologie platonicienne. Le signe le plus révélateur de ce manque criant est sans aucun doute l’absence d’une traduction anglaise digne de foi et d’un commentaire détaillé de cette œuvre, pourtant capitale, de la tradition philosophique occidentale. La présente traduction anglaise des premiers chapitres des prolégomènes de la Théologie platonicienne (chap. 1-7), accompagnée d’une introduction, d’un essai interprétatif et d’un commentaire détaillé, cherche en partie à combler cette lacune, espérant aussi stimuler par-là l’intérêt pour ce dernier grand monument de la philosophie antique tardive.

Despite being his magnum opus, Proclus’ Platonic Theology has been largely overlooked by the contemporary revival of Neoplatonic scholarship. Aside the publication of H. D. Saffrey and L. G. Westerink’s edition in the Collection des Universités de France (Proclus, Théologie platonicienne, 6 vol., éd. H. D. Saffrey et L. G. Westerink, Paris, 1968-1997), and a Festschrift dedicated thereto (Proclus et la théologie platonicienne, Actes du Colloque International de Louvain [13-16 mai 1998], en l'honneur de H. D. Saffrey et L. G. Westerink (†), éd. A. Ph. Segonds (†) et C. Steel, Leuven/Paris, 2000), scant work has been done on the Platonic Theology. Perhaps the most telling signs of the neglect from which it has suffered are its lack of at once a reliable English translation and detailed commentary. The present English translation of the opening chapters of the prolegomenon of the Platonic Theology (chap. 1-7), with its accompanying introduction, interpretative essay, and running commentary, is therefore an attempt to give this work some of the attention it so richly deserves.

Advisors/Committee Members: Narbonne, Jean-Marc.

Subjects/Keywords: B 20.5 UL 2014; Proclus, environ 410-485. Théologie platonicienne. Livre I.  – Chapitre 1-7

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fortier, S. (2014). The prolegomenon to Proclus’ Platonic theology : an introduction, translation, and commentary of chapters 1-7 of Book I of the Platonic theology. (Thesis). Université Laval. Retrieved from http://hdl.handle.net/20.500.11794/25202

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fortier, Simon. “The prolegomenon to Proclus’ Platonic theology : an introduction, translation, and commentary of chapters 1-7 of Book I of the Platonic theology.” 2014. Thesis, Université Laval. Accessed January 27, 2021. http://hdl.handle.net/20.500.11794/25202.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fortier, Simon. “The prolegomenon to Proclus’ Platonic theology : an introduction, translation, and commentary of chapters 1-7 of Book I of the Platonic theology.” 2014. Web. 27 Jan 2021.

Vancouver:

Fortier S. The prolegomenon to Proclus’ Platonic theology : an introduction, translation, and commentary of chapters 1-7 of Book I of the Platonic theology. [Internet] [Thesis]. Université Laval; 2014. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/20.500.11794/25202.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fortier S. The prolegomenon to Proclus’ Platonic theology : an introduction, translation, and commentary of chapters 1-7 of Book I of the Platonic theology. [Thesis]. Université Laval; 2014. Available from: http://hdl.handle.net/20.500.11794/25202

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universitetet i Tromsø

2. Pedersen, Joakim Lillehaug. Comparison of the Ice Watch Database and Sea Ice Classification from Sentinel-1 Imagery .

Degree: 2019, Universitetet i Tromsø

In this thesis,we investigate the potential use of in-situ sea ice observations from the Ice Watch database as ground truth data for an automated classification algorithm of sea ice types from Sentinel-1 SAR data. The Ice Watch database and the Sentinel-1 data archive are searched for in-situ observations and satellite data acquisitions in Extra Wide swath mode overlapping in both space and time. Time differences of up to a maximum of 12 hours are accepted and included in this investigation. The Sentinel-1 data is downloaded in Ground- Range Detected format at medium resolution and thermal noise correction, radiometric calibration and additional multilooking with a 3-by-3 window is applied. Different ice types in the images are then classified with the Gaussian IA classifier developed at UiT. The resulting image with ice type labels is geolocated and aligned with the in-situ observation from the Ice Watch database. A grid of 25-by-25 pixels around the location of the Ice Watch observation is extracted. For data points with a large time difference between in-situ observation and satellite data acquisition, a sea ice drift algorithm is applied to estimate and correct for possible influence of ice drift between the two acquisition times. Correlation and linear regression is investigated between a total number of 123 observation and the classified area around the observation. In addition, per class accuracy for the trained ice types in the classifier is investigated. A medium to strong positive correlation is found between types of ice and a weakly negative to no correlation was found for sea ice concentration. “Second-/Multiyear ice” separation achieves the highest score with 93.8 % per class accuracy. The second highest scoring class is “Deformed First-Year Ice”, for which 48.1 % per class accuracy is achieved. The thinner ice performs poorly due to the low number of representative of observations from these classes. Based on the findings there is a relationship between the reported observations from the Ice Watch database and the classified Sentinel-1 images. The ability to separate the older and deformed ice types from younger level ice is present. Advisors/Committee Members: Doulgeris, Anthony (advisor), Hughes, Nick (advisor), Wagner, Penelope (advisor).

Subjects/Keywords: VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412; VDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412; VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Analyse: 411; VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429; VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429; Synthetic Aperture Radar; Sentinel-1; Machine learning; Gaussian IA-classifier

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pedersen, J. L. (2019). Comparison of the Ice Watch Database and Sea Ice Classification from Sentinel-1 Imagery . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/17253

Chicago Manual of Style (16th Edition):

Pedersen, Joakim Lillehaug. “Comparison of the Ice Watch Database and Sea Ice Classification from Sentinel-1 Imagery .” 2019. Masters Thesis, Universitetet i Tromsø. Accessed January 27, 2021. http://hdl.handle.net/10037/17253.

MLA Handbook (7th Edition):

Pedersen, Joakim Lillehaug. “Comparison of the Ice Watch Database and Sea Ice Classification from Sentinel-1 Imagery .” 2019. Web. 27 Jan 2021.

Vancouver:

Pedersen JL. Comparison of the Ice Watch Database and Sea Ice Classification from Sentinel-1 Imagery . [Internet] [Masters thesis]. Universitetet i Tromsø 2019. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/10037/17253.

Council of Science Editors:

Pedersen JL. Comparison of the Ice Watch Database and Sea Ice Classification from Sentinel-1 Imagery . [Masters Thesis]. Universitetet i Tromsø 2019. Available from: http://hdl.handle.net/10037/17253


Universitetet i Tromsø

3. Kiærbech, Åshild. An investigation of the robustness of distance measure-based supervised labelling of segmented remote sensing images .

Degree: 2019, Universitetet i Tromsø

Unsupervised clustering methods on remote sensing images have shown good results. However, this type of machine learning needs additional labelling to be an end-to-end classification in the same manner as traditional supervised classification. The automation of the labelling needs further exploration. We want to investigate the robustness of a supervised automatic labelling scheme by comparing a segmentation with additional automatic labelling against a supervised classification method. Using synthetic aperture radar (SAR) satellite images of sea ice from Sentinel-1, an automatic Expectation Maximization method with a Gaussian mixture model is used for the segmentation, taking into consideration the incidence angle variation within a SAR image. The additional labelling is a likelihood majority vote related to the Mahalanobis distance measure. The Bayesian Maximum Likelihood (ML) is used as the fully supervised reference method. The experiments of comparison are done using various amounts of training data and different percentages of mislabelling in the training data set. The classification results are compared both visually and using classification accuracy. As training data size increases, the accuracy of the ML method tends to decay faster than for the segment-then-label approach, particularly when sample sizes per class are less than a hundred. As more contamination is introduced, the decay is not distinct, probably due to the large within-class variations in the training set. Based on the results, the ML method generally gets a higher overall classification accuracy, but there are weak tendencies for the segment-then-label method to be more robust to decreasing training data size and more mislabelling. Advisors/Committee Members: Doulgeris, Anthony (advisor).

Subjects/Keywords: VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429; VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429; VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Analyse: 411; VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411; VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412; VDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412; Automatic labelling; Classification; Image segmentation; Expectation Maximization; Gaussian Mixture Model; Maximum Likelihood; Sea ice; Sentinel-1; SAR; Remote sensing; Satellite images

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kiærbech, . (2019). An investigation of the robustness of distance measure-based supervised labelling of segmented remote sensing images . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/15761

Chicago Manual of Style (16th Edition):

Kiærbech, Åshild. “An investigation of the robustness of distance measure-based supervised labelling of segmented remote sensing images .” 2019. Masters Thesis, Universitetet i Tromsø. Accessed January 27, 2021. http://hdl.handle.net/10037/15761.

MLA Handbook (7th Edition):

Kiærbech, Åshild. “An investigation of the robustness of distance measure-based supervised labelling of segmented remote sensing images .” 2019. Web. 27 Jan 2021.

Vancouver:

Kiærbech . An investigation of the robustness of distance measure-based supervised labelling of segmented remote sensing images . [Internet] [Masters thesis]. Universitetet i Tromsø 2019. [cited 2021 Jan 27]. Available from: http://hdl.handle.net/10037/15761.

Council of Science Editors:

Kiærbech . An investigation of the robustness of distance measure-based supervised labelling of segmented remote sensing images . [Masters Thesis]. Universitetet i Tromsø 2019. Available from: http://hdl.handle.net/10037/15761

.