Acclaim
发表于 2025-3-26 23:19:46
http://reply.papertrans.cn/87/8674/867397/867397_31.png
系列
发表于 2025-3-27 04:51:49
How Many Neighbours for Known-Item Search? engines for one or just a few nearest neighbours to a query does not have to be sufficient to accomplish a challenging search task. In this work, we investigate a task type where users search for one particular multimedia object in a large database. Complexity of the task is empirically demonstrate
Plaque
发表于 2025-3-27 06:34:27
On Generalizing Permutation-Based Representations for Approximate Searchith large data collections. These methods employ a permutation-based representation of the data, which can be efficiently indexed using data structures such as inverted files. In the literature, the definition of the permutation of a metric object was derived by reordering the distances of the objec
thwart
发表于 2025-3-27 13:30:56
Data-Driven Learned Metric Index: An Unsupervised Approach data or divide space using hyper-planes. While searching, the mutual distances between objects and the metric properties allow for the pruning of branches with irrelevant data – this is usually implemented by utilizing selected anchor objects called pivots. Recently, we have introduced an alternati
多产鱼
发表于 2025-3-27 14:05:00
http://reply.papertrans.cn/87/8674/867397/867397_35.png
wall-stress
发表于 2025-3-27 21:50:11
http://reply.papertrans.cn/87/8674/867397/867397_36.png
Fierce
发表于 2025-3-27 22:04:41
http://reply.papertrans.cn/87/8674/867397/867397_37.png
废墟
发表于 2025-3-28 02:27:36
Optimizing Fair Approximate Nearest Neighbor Searches Using Threaded B+-Treesor solving the Approximate Nearest Neighbor (ANN) problem in high-dimensional spaces. Along with creating fair machine learning models, there is also a need for creating data structures that target different types of fairness. In this paper, we propose a fair variant of the ANN problem that targets
genesis
发表于 2025-3-28 08:17:48
http://reply.papertrans.cn/87/8674/867397/867397_39.png
轿车
发表于 2025-3-28 13:23:03
http://reply.papertrans.cn/87/8674/867397/867397_40.png