找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

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

[复制链接]
楼主: complicated
发表于 2025-3-27 00:37:45 | 显示全部楼层
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
发表于 2025-3-27 01:50:32 | 显示全部楼层
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.
发表于 2025-3-27 07:06:32 | 显示全部楼层
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.
发表于 2025-3-27 11:37:57 | 显示全部楼层
发表于 2025-3-27 14:23:07 | 显示全部楼层
发表于 2025-3-27 18:58:16 | 显示全部楼层
发表于 2025-3-27 22:56:41 | 显示全部楼层
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.
发表于 2025-3-28 02:21:34 | 显示全部楼层
发表于 2025-3-28 08:21:49 | 显示全部楼层
发表于 2025-3-28 13:42:12 | 显示全部楼层
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.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-5 21:08
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表