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The Pandora software development kit for pattern recognition
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Marshall, John and Thomson, M. A. (2015) The Pandora software development kit for pattern recognition. The European Physical Journal C, 75 (9). 439. doi:10.1140/epjc/s10052-015-3659-3
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Official URL: http://dx.doi.org/10.1140/epjc/s10052-015-3659-3
Abstract
The development of automated solutions to pattern recognition problems is important in many areas of scientific research and human endeavour. This paper describes the implementation of the Pandora software development kit, which aids the process of designing, implementing and running pattern recognition algorithms. The Pandora Application Programming Interfaces ensure simple specification of the building-blocks defining a pattern recognition problem. The logic required to solve the problem is implemented in algorithms. The algorithms request operations to create or modify data structures and the operations are performed by the Pandora framework. This design promotes an approach using many decoupled algorithms, each addressing specific topologies. Details of algorithms addressing two pattern recognition problems in High Energy Physics are presented: reconstruction of events at a high-energy e+e− linear collider and reconstruction of cosmic ray or neutrino events in a liquid argon time projection chamber.
| Item Type: | Journal Article | |||||||||
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| Subjects: | Q Science > QC Physics T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science > Physics | |||||||||
| Library of Congress Subject Headings (LCSH): | Pattern perception , Pattern recognition systems, Image processing -- Digital techniques, Image processing -- Digital techniques -- Mathematics | |||||||||
| Journal or Publication Title: | The European Physical Journal C | |||||||||
| Publisher: | Springer | |||||||||
| ISSN: | 1434-6044 | |||||||||
| Official Date: | 21 September 2015 | |||||||||
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| Volume: | 75 | |||||||||
| Number: | 9 | |||||||||
| Article Number: | 439 | |||||||||
| DOI: | 10.1140/epjc/s10052-015-3659-3 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Access rights to Published version: | Open Access | |||||||||
| RIOXX Funder/Project Grant: |
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