start proposing changes for journal version of DSD
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.gitignore
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# Exclude pdfs
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*.pdf
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# markdown files
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*.md
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# archives
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*.zip
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DSD/journal/additions.md
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DSD/journal/additions.md
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vim:ft=markdown
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= Changes
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== Multi-shot Classification
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The system is designed to get the most out of one-shot training data. We explain in the discussion that there is a natural extension to multi-shot training data. However we don't provide much more explanation nor an evaluation of the performances.
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-> Explain in details how the algorithm work with multiple training samples per class. Explain that this is a competitive system where samples of the same class compete against each other but play for the same team. There may be a change to make on the computation of the threshold that should only consider distances between different classes (min of distance between two samples of different classes, this has a specific name in hierarchical clustering design).
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Provide an evaluation in the case where a pattern can have multiple modes.
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