Staff Thesis 703 views
Multivariate Analysis Techniques for Optimal Vision System Design
Swansea University Author:
Sara Sharifzadeh
Abstract
Multivariate Analysis Techniques for Optimal Vision System Design
| Published: |
Technical University of Denmark
2015
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|---|---|
| Online Access: |
https://orbit.dtu.dk/en/publications/multivariate-analysis-techniques-for-optimal-vision-system-design |
| URI: | https://cronfa.swan.ac.uk/Record/cronfa65610 |
| first_indexed |
2024-04-07T13:42:41Z |
|---|---|
| last_indexed |
2024-11-25T14:16:27Z |
| id |
cronfa65610 |
| recordtype |
SURis |
| fullrecord |
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| spelling |
2024-04-07T14:42:44.9521944 v2 65610 2024-02-09 Multivariate Analysis Techniques for Optimal Vision System Design a4e15f304398ecee3f28c7faec69c1b0 0000-0003-4621-2917 Sara Sharifzadeh Sara Sharifzadeh true false 2024-02-09 MACS Thesis Technical University of Denmark 1 1 2015 2015-01-01 https://orbit.dtu.dk/en/publications/multivariate-analysis-techniques-for-optimal-vision-system-design Thesis available at https://orbit.dtu.dk/en/publications/multivariate-analysis-techniques-for-optimal-vision-system-design COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2024-04-07T14:42:44.9521944 2024-02-09T01:17:20.0355163 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Sara Sharifzadeh 0000-0003-4621-2917 1 |
| title |
Multivariate Analysis Techniques for Optimal Vision System Design |
| spellingShingle |
Multivariate Analysis Techniques for Optimal Vision System Design Sara Sharifzadeh |
| title_short |
Multivariate Analysis Techniques for Optimal Vision System Design |
| title_full |
Multivariate Analysis Techniques for Optimal Vision System Design |
| title_fullStr |
Multivariate Analysis Techniques for Optimal Vision System Design |
| title_full_unstemmed |
Multivariate Analysis Techniques for Optimal Vision System Design |
| title_sort |
Multivariate Analysis Techniques for Optimal Vision System Design |
| author_id_str_mv |
a4e15f304398ecee3f28c7faec69c1b0 |
| author_id_fullname_str_mv |
a4e15f304398ecee3f28c7faec69c1b0_***_Sara Sharifzadeh |
| author |
Sara Sharifzadeh |
| author2 |
Sara Sharifzadeh |
| format |
Staff Thesis |
| publishDate |
2015 |
| institution |
Swansea University |
| college_str |
Faculty of Science and Engineering |
| hierarchytype |
|
| hierarchy_top_id |
facultyofscienceandengineering |
| hierarchy_top_title |
Faculty of Science and Engineering |
| hierarchy_parent_id |
facultyofscienceandengineering |
| hierarchy_parent_title |
Faculty of Science and Engineering |
| department_str |
School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
| url |
https://orbit.dtu.dk/en/publications/multivariate-analysis-techniques-for-optimal-vision-system-design |
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0 |
| active_str |
0 |
| published_date |
2015-01-01T05:18:11Z |
| _version_ |
1851097236506673152 |
| score |
11.089572 |

