Prostatism
发表于 2025-3-30 08:32:13
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antenna
发表于 2025-3-30 14:04:07
Multimodal-Based Supervised Learning for Image Search Rerankingthe supervised method is employed to learn the weight of each reranking feature. The experiments constructed on the MSRA-MM Dataset demonstrate the improvement in robust and effectiveness of the proposed method.
吹气
发表于 2025-3-30 18:48:49
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出价
发表于 2025-3-30 20:53:38
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放气
发表于 2025-3-31 04:05:39
Relevance Search on Signed Heterogeneous Information Network Based on Meta-path Factorizationure the relatedness of objects in signed heterogeneous information networks based on signed meta-path factorization. SignSim firstly defines the atomic meta-paths and gives the computing paradigm of similarity between objects with the same type based on atomic meta-paths, with collaborative filterin
tenosynovitis
发表于 2025-3-31 05:48:45
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output
发表于 2025-3-31 12:51:55
cluTM: Content and Link Integrated Topic Model on Heterogeneous Information Networkson can derive a common latent semantic space shared by multi-typed objects. With the multi-typed objects represented by the common latent features, the semantic information can be therefore largely enhanced simultaneously. Experimental results on DBLP datasets demonstrate the effectiveness of cluTM
Decline
发表于 2025-3-31 17:09:41
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有帮助
发表于 2025-3-31 19:00:15
Realizing Impact Sourcing by Adaptive Gold Questions: A Socially Responsible Measure for Workers’ Trd economic opportunities to low-income countries, alleviating the welfare of poor, honest and yet uneducated labor. On the other hand, crowd sourcing’s virtual nature and anonymity encourages fraudulent workers to misuse the service for quick and easy monetary gain. This in turn compromises the qual
Bph773
发表于 2025-3-31 21:53:53
A Coalition Formation Game Theory-Based Approach for Detecting Communities in Multi-relational Netwoal networks. However, in the real world, social networks are mostly multi-relational. In this paper, we propose a coalition formation game theory-based approach to detect communities in multi-relational social networks. We define the multi-relational communities as the shared communities over multip