Matches in SemOpenAlex for { <https://semopenalex.org/work/W2065320544> ?p ?o ?g. }
Showing items 1 to 54 of
54
with 100 items per page.
- W2065320544 abstract "Granular computing as an enabling technology and as such it cuts across a broad spectrum of disciplines and becomes important to many areas of applications. In this paper, the notions of tolerance relation based information granular space are introduced and formalized mathematically. It is a uniform model to study problems in model recognition and machine learning. The key strength of the model is the capability of granulating knowledge in both consecutive and discrete attribute space based on tolerance relation. Such capability is re-established in granulation and an application in image texture-shape recognition is illustrated. Simulation results show the model is effective and efficient." @default.
- W2065320544 created "2016-06-24" @default.
- W2065320544 creator A5000083222 @default.
- W2065320544 creator A5075925664 @default.
- W2065320544 creator A5088888083 @default.
- W2065320544 date "2005-01-01" @default.
- W2065320544 modified "2023-10-16" @default.
- W2065320544 title "Tolerance granular space and its applications" @default.
- W2065320544 cites W1591618909 @default.
- W2065320544 cites W1900723567 @default.
- W2065320544 cites W1964980811 @default.
- W2065320544 cites W2039612688 @default.
- W2065320544 cites W2109779985 @default.
- W2065320544 cites W2125148312 @default.
- W2065320544 cites W2153676086 @default.
- W2065320544 cites W2503212093 @default.
- W2065320544 cites W4239045871 @default.
- W2065320544 cites W4249601105 @default.
- W2065320544 cites W4253506662 @default.
- W2065320544 doi "https://doi.org/10.1109/grc.2005.1547306" @default.
- W2065320544 hasPublicationYear "2005" @default.
- W2065320544 type Work @default.
- W2065320544 sameAs 2065320544 @default.
- W2065320544 citedByCount "19" @default.
- W2065320544 countsByYear W20653205442014 @default.
- W2065320544 countsByYear W20653205442019 @default.
- W2065320544 countsByYear W20653205442021 @default.
- W2065320544 crossrefType "proceedings-article" @default.
- W2065320544 hasAuthorship W2065320544A5000083222 @default.
- W2065320544 hasAuthorship W2065320544A5075925664 @default.
- W2065320544 hasAuthorship W2065320544A5088888083 @default.
- W2065320544 hasConcept C111919701 @default.
- W2065320544 hasConcept C2778572836 @default.
- W2065320544 hasConcept C41008148 @default.
- W2065320544 hasConceptScore W2065320544C111919701 @default.
- W2065320544 hasConceptScore W2065320544C2778572836 @default.
- W2065320544 hasConceptScore W2065320544C41008148 @default.
- W2065320544 hasLocation W20653205441 @default.
- W2065320544 hasOpenAccess W2065320544 @default.
- W2065320544 hasPrimaryLocation W20653205441 @default.
- W2065320544 hasRelatedWork W2093578348 @default.
- W2065320544 hasRelatedWork W2350741829 @default.
- W2065320544 hasRelatedWork W2358668433 @default.
- W2065320544 hasRelatedWork W2376932109 @default.
- W2065320544 hasRelatedWork W2382290278 @default.
- W2065320544 hasRelatedWork W2390279801 @default.
- W2065320544 hasRelatedWork W2748952813 @default.
- W2065320544 hasRelatedWork W2766271392 @default.
- W2065320544 hasRelatedWork W2899084033 @default.
- W2065320544 hasRelatedWork W3004735627 @default.
- W2065320544 isParatext "false" @default.
- W2065320544 isRetracted "false" @default.
- W2065320544 magId "2065320544" @default.
- W2065320544 workType "article" @default.