FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204806959> ?p ?o ?g. }

• W3204806959 endingPage "14" @default.
• W3204806959 startingPage "1" @default.
• W3204806959 abstract "In today’s rapid development of network and multimedia technology, the booming of electronic commerce, users in the network shopping species of images and other multimedia information showing geometric growth, in the face of this situation, how to find the images they need in the vast amount of online shopping images has become an urgent problem to solve. This paper is based on the partial differential equation to do the following research: Based on the partial differential equation is a kind of equation that simulates the human visual perception system to analyze images; based on the summary of the advantages and disadvantages of multifeature image retrieval technology, we propose a multifeature image retrieval technology method based on the partial differential equation to alleviate the indexing imbalance caused by the mismatch of multifeature image retrieval technology distribution. To improve the search speed of the data-dependent locally sensitive hashing algorithm, we propose a query pruning algorithm compatible with the proposed partial differential equation-based multifeature image retrieval technology method, which greatly improves the retrieval speed while ensuring the retrieval accuracy; to implement the data-dependent partial differential equation algorithm, we need to distribute the data set among different operation nodes, and to better achieve better parallelization of operations, we need to measure the similarity between categories, and we achieve the problem of distributing data among various categories in each operation node by introducing a clustering method with constraints. The purpose of this article for image recognition is for better shopping platforms for merchants. This algorithm has trained multiple samples and has data support. The experimental results show that our proposed data set allocation method shows significant advantages over the data set allocation method that does not consider category correlation. However, the image features used in image retrieval systems are often hundreds or even thousands of dimensions, and these features are not only high in dimensionality but also huge in number, which makes image retrieval systems encounter an inevitable problem—“dimensionality disaster.” To overcome this problem, scholars have proposed a series of approximate nearest neighbor methods, but multifeature image retrieval techniques based on partial differential equations are more widely used in people’s daily life." @default.
• W3204806959 created "2021-10-11" @default.
• W3204806959 creator A5061762412 @default.
• W3204806959 date "2021-09-25" @default.
• W3204806959 modified "2023-09-23" @default.
• W3204806959 title "Multifeatured Image Retrieval Techniques Based on Partial Differential Equations for Online Shopping" @default.
• W3204806959 cites W2791976399 @default.
• W3204806959 cites W2956789413 @default.
• W3204806959 cites W3006683596 @default.
• W3204806959 cites W3007187496 @default.
• W3204806959 cites W3008299293 @default.
• W3204806959 cites W3008346384 @default.
• W3204806959 cites W3010999682 @default.
• W3204806959 cites W3012028708 @default.
• W3204806959 cites W3012996643 @default.
• W3204806959 cites W3015001775 @default.
• W3204806959 cites W3015448082 @default.
• W3204806959 cites W3025128708 @default.
• W3204806959 cites W3026059468 @default.
• W3204806959 cites W3037950204 @default.
• W3204806959 cites W3043679535 @default.
• W3204806959 cites W3097696641 @default.
• W3204806959 cites W3114768104 @default.
• W3204806959 cites W3118258898 @default.
• W3204806959 cites W3122777081 @default.
• W3204806959 cites W3155364699 @default.
• W3204806959 cites W3171788389 @default.
• W3204806959 cites W3190254828 @default.
• W3204806959 cites W4232775194 @default.
• W3204806959 doi "https://doi.org/10.1155/2021/2834873" @default.
• W3204806959 hasPublicationYear "2021" @default.
• W3204806959 type Work @default.
• W3204806959 sameAs 3204806959 @default.
• W3204806959 citedByCount "0" @default.
• W3204806959 crossrefType "journal-article" @default.
• W3204806959 hasAuthorship W3204806959A5061762412 @default.
• W3204806959 hasBestOaLocation W32048069591 @default.
• W3204806959 hasConcept C103278499 @default.
• W3204806959 hasConcept C108010975 @default.
• W3204806959 hasConcept C115961682 @default.
• W3204806959 hasConcept C124101348 @default.
• W3204806959 hasConcept C134306372 @default.
• W3204806959 hasConcept C144024400 @default.
• W3204806959 hasConcept C154945302 @default.
• W3204806959 hasConcept C1667742 @default.
• W3204806959 hasConcept C23123220 @default.
• W3204806959 hasConcept C2779304628 @default.
• W3204806959 hasConcept C33923547 @default.
• W3204806959 hasConcept C36289849 @default.
• W3204806959 hasConcept C38652104 @default.
• W3204806959 hasConcept C41008148 @default.
• W3204806959 hasConcept C6557445 @default.
• W3204806959 hasConcept C75165309 @default.
• W3204806959 hasConcept C86803240 @default.
• W3204806959 hasConcept C93779851 @default.
• W3204806959 hasConcept C99138194 @default.
• W3204806959 hasConceptScore W3204806959C103278499 @default.
• W3204806959 hasConceptScore W3204806959C108010975 @default.
• W3204806959 hasConceptScore W3204806959C115961682 @default.
• W3204806959 hasConceptScore W3204806959C124101348 @default.
• W3204806959 hasConceptScore W3204806959C134306372 @default.
• W3204806959 hasConceptScore W3204806959C144024400 @default.
• W3204806959 hasConceptScore W3204806959C154945302 @default.
• W3204806959 hasConceptScore W3204806959C1667742 @default.
• W3204806959 hasConceptScore W3204806959C23123220 @default.
• W3204806959 hasConceptScore W3204806959C2779304628 @default.
• W3204806959 hasConceptScore W3204806959C33923547 @default.
• W3204806959 hasConceptScore W3204806959C36289849 @default.
• W3204806959 hasConceptScore W3204806959C38652104 @default.
• W3204806959 hasConceptScore W3204806959C41008148 @default.
• W3204806959 hasConceptScore W3204806959C6557445 @default.
• W3204806959 hasConceptScore W3204806959C75165309 @default.
• W3204806959 hasConceptScore W3204806959C86803240 @default.
• W3204806959 hasConceptScore W3204806959C93779851 @default.
• W3204806959 hasConceptScore W3204806959C99138194 @default.
• W3204806959 hasFunder F4320324777 @default.
• W3204806959 hasLocation W32048069591 @default.
• W3204806959 hasLocation W32048069592 @default.
• W3204806959 hasOpenAccess W3204806959 @default.
• W3204806959 hasPrimaryLocation W32048069591 @default.
• W3204806959 hasRelatedWork W1519045150 @default.
• W3204806959 hasRelatedWork W1532257308 @default.
• W3204806959 hasRelatedWork W1873761914 @default.
• W3204806959 hasRelatedWork W2048188615 @default.
• W3204806959 hasRelatedWork W2124913745 @default.
• W3204806959 hasRelatedWork W2264780969 @default.
• W3204806959 hasRelatedWork W2532409108 @default.
• W3204806959 hasRelatedWork W3741568 @default.
• W3204806959 hasRelatedWork W4246499759 @default.
• W3204806959 hasRelatedWork W4249836580 @default.
• W3204806959 hasVolume "2021" @default.
• W3204806959 isParatext "false" @default.
• W3204806959 isRetracted "false" @default.
• W3204806959 magId "3204806959" @default.
• W3204806959 workType "article" @default.