哀求 发表于 2025-3-23 12:31:34
Transactional Support for Visual Instance Searchr visual instance retrieval. By extending the NV-tree, a scalable disk-based high-dimensional index, we show how to implement the ACID properties of transactions which ensure both dynamicity and durability. We present a detailed performance evaluation of the transactional NV-tree, showing that the iseduce 发表于 2025-3-23 16:07:03
Interactive Product Search Based on Global and Local Visual-Semantic Featuresescription, simple attributes (price, size, color, fabric, etc.) and visual information (product photo). Search engines used in e-shops mostly provide text and attribute/category interface for product filtering. In our model, we focus on the visual information applied in an interactive query-by-examProstaglandins 发表于 2025-3-23 18:40:11
http://reply.papertrans.cn/87/8675/867405/867405_13.png安心地散步 发表于 2025-3-24 01:00:43
http://reply.papertrans.cn/87/8675/867405/867405_14.pngEVICT 发表于 2025-3-24 05:52:34
http://reply.papertrans.cn/87/8675/867405/867405_15.pngChipmunk 发表于 2025-3-24 10:10:21
http://reply.papertrans.cn/87/8675/867405/867405_16.png承认 发表于 2025-3-24 13:34:37
http://reply.papertrans.cn/87/8675/867405/867405_17.pngEtymology 发表于 2025-3-24 15:50:52
D-MASC: A Novel Search Strategy for Detecting Regions of Interest in Linear Parameter Spacemeter space transform in context of clustering is a more recent application with the purpose of detecting (hyper)linear correlated clusters. The runtime for detecting edges or hyperlinear correlations can be very high. The contribution of our work is to provide a novel search strategy in order to acexhibit 发表于 2025-3-24 19:09:07
http://reply.papertrans.cn/87/8675/867405/867405_19.pngInfect 发表于 2025-3-25 01:15:04
Metric Indexing Assisted by Short-Term Memoriesach present better distribution of the elements in the index nodes when compared to the access methods built without it. Moreover, these results show the strategies decrease the overlap, the number of distance calculations, the number of disk accesses and the execution time to run k-nearest neighbor queries.