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樓主: Agitated
51#
發(fā)表于 2025-3-30 09:11:04 | 只看該作者
https://doi.org/10.1007/978-3-319-05035-5based approach with a new measure of inadmissibility for edges based on neighbourhood analysis. Frames closest to the centroid of each cluster are used to build the summary. Experimental comparisons on two standard datasets clearly indicate the advantage of our solution.
52#
發(fā)表于 2025-3-30 15:01:58 | 只看該作者
53#
發(fā)表于 2025-3-30 18:42:05 | 只看該作者
54#
發(fā)表于 2025-3-30 23:14:08 | 只看該作者
Cross-Evaluation of Graph-Based Keyword Spotting in Handwritten Historical Documents,storical documents. We observe a direct relationship between parameter settings and the actual handwriting. We also propose different ensemble strategies that allow to keep up with individually optimised systems without . knowledge of a certain manuscript. Such a system can potentially be applied to new documents without prior optimisation.
55#
發(fā)表于 2025-3-31 02:50:55 | 只看該作者
Congratulations! Dual Graphs Are Now Orientated!,otone cubic interpolation. In this paper, we define orientation of edges in the dual graph such that it remains consistent with the primal graph. Further we deliver the necessary and sufficient conditions for merging of two adjacent slope regions.
56#
發(fā)表于 2025-3-31 07:43:34 | 只看該作者
57#
發(fā)表于 2025-3-31 10:42:11 | 只看該作者
A Graph-Theoretic Framework for Summarizing First-Person Videos,based approach with a new measure of inadmissibility for edges based on neighbourhood analysis. Frames closest to the centroid of each cluster are used to build the summary. Experimental comparisons on two standard datasets clearly indicate the advantage of our solution.
58#
發(fā)表于 2025-3-31 17:19:44 | 只看該作者
59#
發(fā)表于 2025-3-31 20:43:46 | 只看該作者
60#
發(fā)表于 2025-4-1 01:33:52 | 只看該作者
https://doi.org/10.1007/978-3-662-02065-4 of a network can be achieved. We apply the resulting method to fMRI activation networks to evaluate the qualitative and quantitative characterisations. The entropic measurement turns out to be an effective tool to identify the differences in the structure of Alzheimer’s disease by selecting the most salient anatomical brain regions.
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