dainty 发表于 2025-3-27 00:47:01
Towards Personalized Similarity Search for Vector Databasesta to produce and manage large collections of high-dimensional vectors. Processing of such data is only possible by using a similarity function for storage, structure, and retrieval. However, if multiple users access the collection, their views on similarity can differ as similarity, in general, isCURB 发表于 2025-3-27 04:31:33
Information Dissimilarity Measures in Decentralized Knowledge Distillation: A Comparative Analysis model. Although initially developed for model compression, it has found applications across various domains due to the benefits of its knowledge transfer mechanism. While Cross Entropy (CE) and Kullback-Leibler (KL) are commonly used in KD, this work investigates the applicability of loss functions缺陷 发表于 2025-3-27 05:21:39
An Empirical Evaluation of Search Strategies for Locality-Sensitive Hashing: Lookup, Voting, and Nately on partitioning the metric space. To find the approximate nearest neighbors of a query point, a candidate set is constructed based on the points that belong to the same part in the partition, and the closest points among these candidates are identified via a bruteforce search. Hyvönen et al. (JM不透明性 发表于 2025-3-27 10:20:51
http://reply.papertrans.cn/89/8853/885226/885226_34.png细胞学 发表于 2025-3-27 13:46:52
A Topological Evaluation Model for Manifold Learning and Embedding Techniquestion, possibly with the hope of circumventing the curse of dimensionality. Low-dimensional data may then be the basis for further processing, such as clustering or learning. It is therefore critical that the reduced data representation is faithful to the information contained in the original data. M舔食 发表于 2025-3-27 17:57:27
http://reply.papertrans.cn/89/8853/885226/885226_36.pngTERRA 发表于 2025-3-27 22:37:53
http://reply.papertrans.cn/89/8853/885226/885226_37.png使混合 发表于 2025-3-28 05:07:49
Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Oututlier. However, these scores are often not comparable across algorithms and can be difficult for humans to interpret. Statistical scaling addresses this problem by transforming outlier scores into outlier probabilities without using ground-truth labels, thereby improving interpretability and comparintegral 发表于 2025-3-28 08:14:40
http://reply.papertrans.cn/89/8853/885226/885226_39.pngindubitable 发表于 2025-3-28 12:22:13
Conference proceedings 2025ence, RI, USA, during November 4–6, 2024...The 13 full papers, 7 short papers and 4 Indexing Challenge papers included in this book were carefully reviewed and selected from 32 submissions. They focus on efficient similarity search methods addressing the challenges of exploring similar items and man