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pro vyhledávání: '"Masajiro Iwasaki"'
Autor:
Masajiro Iwasaki
Publikováno v:
Similarity Search and Applications ISBN: 9783319467580
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2515cccb3a1a43181fff137c99040528
https://doi.org/10.1007/978-3-319-46759-7_26
https://doi.org/10.1007/978-3-319-46759-7_26
Publikováno v:
ACL (1)
Autor:
Masajiro Iwasaki
Publikováno v:
Similarity Search and Applications ISBN: 9783319467580
SISAP
SISAP
In this paper, we address the problems with fast proximity searches for high-dimensional data by using a graph as an index. Graph-based methods that use the k-nearest neighbor graph (KNNG) as an index perform better than tree-based and hash-based met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::755090858b4ee5c8975de83d432baab2
https://doi.org/10.1007/978-3-319-46759-7_2
https://doi.org/10.1007/978-3-319-46759-7_2
Publikováno v:
Signal Processing: Image Communication. 16:45-57
The rapidly increasing usage of multimedia environments has led to a greater demand for image retrieval. Until recently, this retrieval has been done using keywords, which are generally added by hand to the image, and is thus inefficient. Recent stud
Publikováno v:
Storage and Retrieval for Media Databases
In this paper, we present an approach to effectively access desired images in a large image database. Similarity-based image retrieval and image classification are representative methods for accessing images in an image database. With similarity-base
Conference
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