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Titlebook: Similarity Search and Applications; 15th International C Tomá? Skopal,Fabrizio Falchi,Marco Patella Conference proceedings 2022 The Editor(

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31#
發(fā)表于 2025-3-27 00:37:45 | 只看該作者
0302-9743 in Bologna, Italy in October 2022..SISAP 2022 is an annual international conference for researchers focusing on similarity search challenges and related theoretical/practical problems, as well as the design of content-based similarity search applications. The 15 full papers presented together with 8
32#
發(fā)表于 2025-3-27 01:50:32 | 只看該作者
An Application of?Learned Multi-modal Product Similarity to?E-Commerceti-modal model for similarity search. Further, we propose a way to construct a meaningful training data set to learn the relevant similarities between product pairs. Extensive experiments show that a transformer based language model combined with Siamese convolutional neural networks outperform competitive baseline models.
33#
發(fā)表于 2025-3-27 07:06:32 | 只看該作者
Clustering by?Direct Optimization of?the?Medoid Silhouettee versions guarantees equal results to the original variant and provides a run speedup of .. In experiments on real data with 30000 samples and . = 100, we observed a 10464. speedup compared to the original PAMMEDSIL algorithm.
34#
發(fā)表于 2025-3-27 11:37:57 | 只看該作者
35#
發(fā)表于 2025-3-27 14:23:07 | 只看該作者
36#
發(fā)表于 2025-3-27 18:58:16 | 只看該作者
37#
發(fā)表于 2025-3-27 22:56:41 | 只看該作者
Generalized Relative Neighborhood Graph (GRNG) for?Similarity Search guides the efficient and exact construction of the RNG of a set of exemplars. It also shows how to extend this to a multi-layer hierarchy which significantly improves over the state-of-the-art methods which can only construct an approximate RNG.
38#
發(fā)表于 2025-3-28 02:21:34 | 只看該作者
39#
發(fā)表于 2025-3-28 08:21:49 | 只看該作者
40#
發(fā)表于 2025-3-28 13:42:12 | 只看該作者
Visual Exploration of?Human Motion Datas also very desirable to visualize the differences between two motion sequences. In this paper, we present a publicly available software tool that provides the visualization functionality for individual motion sequences, comparison of two motions, and exploration of large motion datasets.
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