Browse State-of-the-Art › Prototype Selection
Prototype Selection
10 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
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Libraries
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Datasets archive 2025-07-28
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Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
10 shown of 10 papers with code (29 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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16 May 2023 3 repositories listedIn this work, we propose a unified framework called Latent Distribution Adjusting (LDA) with properties of latent, discriminative, adaptive, generic to improve the robustness of the FAS model by adjusting complex data…
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12 Mar 2022 2 repositories listedNon-exemplar class-incremental learning is to recognize both the old and new classes when old class samples cannot be saved.
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22 Nov 2016 2 repositories listedEnsembles of decision trees perform well on many problems, but are not interpretable.
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8 May 2025 1 repository listedAlthough prototype-based explanations provide a human-understandable way of representing model predictions they often fail to direct user attention to the most relevant features.
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23 Nov 2021 1 repository listedSelection functionality is as fundamental to vector graphics as it is for raster data.
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29 Jun 2020 1 repository listed Syntology ran 1 of 9 samples · 8 unverifiedWhile effective, these methods are inefficient at test time as a result of needing to store and index the entire training corpus.
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5 Apr 2020 1 repository listedWe propose a novel approach to anomaly detection called Curvature Anomaly Detection (CAD) and Kernel CAD based on the idea of polyhedron curvature.
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24 Oct 2019 1 repository listedGiven a set of hand-crafted local features, acquiring a global representation via aggregation is a promising technique to boost computational efficiency and improve task performance.
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24 Apr 2019 1 repository listedUsing this similarity measure, we propose several related algorithms for ranking data instances and performing numerosity reduction.
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2 Apr 2015 1 repository listedWe investigate the degree of approximation of this projection under different prototype selection policies and prototype set sizes in order to characterise its use on tractography data.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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