Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Uraiwan Buatoom"'
Autor:
Uraiwan Buatoom, Muhammad Usman Jamil
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 2005 (2023)
In image classification, various techniques have been developed to enhance the performance of principal component analysis (PCA) dimension reduction techniques with guiding weighting features to remove redundant and irrelevant features. This study pr
Externí odkaz:
https://doaj.org/article/74fb706910fb41edbae804cd7f2fd41f
Publikováno v:
Applied Sciences, Vol 12, Iss 8, p 4083 (2022)
In handwriting recognition research, a public image dataset is necessary to evaluate algorithm correctness and runtime performance. Unfortunately, in existing Thai language script image datasets, there is a lack of variety of standard handwriting typ
Externí odkaz:
https://doaj.org/article/14020a1df0044401973eea02d6753b67
Publikováno v:
Symmetry, Vol 12, Iss 6, p 967 (2020)
In similarity-based constrained clustering, there have been various approaches on how to define the similarity between documents to guide the grouping of similar documents together. This paper presents an approach to use term-distribution statistics
Externí odkaz:
https://doaj.org/article/5631b2d183784499b84481d7549a7985
Publikováno v:
2022 26th International Computer Science and Engineering Conference (ICSEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0e8ab0de2190a5d3ea9e50bc983e2d0
https://doi.org/10.1109/icsec56337.2022.10049342
https://doi.org/10.1109/icsec56337.2022.10049342
Publikováno v:
IEICE Transactions on Information and Systems. :748-758
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ed677007e6226533ca3d2a6da0fb447
https://doi.org/10.1587/transinf.2019iip0017
https://doi.org/10.1587/transinf.2019iip0017
Publikováno v:
Symmetry, Vol 12, Iss 967, p 967 (2020)
Symmetry
Volume 12
Issue 6
Symmetry
Volume 12
Issue 6
In similarity-based constrained clustering, there have been various approaches on how to define the similarity between documents to guide the grouping of similar documents together. This paper presents an approach to use term-distribution statistics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bee47c5451523c84c998a4dc7c1bbff3
https://doi.org/10.3390/sym12060967
https://doi.org/10.3390/sym12060967
Publikováno v:
2018 Thirteenth International Conference on Knowledge, Information and Creativity Support Systems (KICSS).
While traditional unsupervised learning is blind and the performance relies on the choice of initial seeds. The idea of constrained clustering can use a small number of labeled instances to partly guide a large number of unlabeled instances. It focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ea209fe34b19eeac842d2d59b209cbb
https://doi.org/10.1109/kicss45055.2018.8950598
https://doi.org/10.1109/kicss45055.2018.8950598
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319606743
PRICAI Workshops
PRICAI Workshops
One of the most difficult issues in text mining is high dimensionality caused by a large number of features (keywords). While various multivariate analyses, such as PCA and SVD (in information retrieval, called LSI), are developed to solve this curse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61fef764f02aeab8ac80e6f8bbfc1384
https://doi.org/10.1007/978-3-319-60675-0_3
https://doi.org/10.1007/978-3-319-60675-0_3
