Urdu Handwritten Characters Data Visualization and Recognition Using Distributed Stochastic Neighbor...
Urdu Handwritten Characters Data Visualization and Recognition Using Distributed Stochastic Neighborhood Embedding and Deep Network
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Hoboken: Hindawi
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Language
English
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Hoboken: Hindawi
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In this paper, we make use of the 2-dimensional data obtained through t-Stochastic Neighborhood Embedding (t-SNE) when applied on high-dimensional data of Urdu handwritten characters and numerals. The instances of the dataset used for experimental work are classified in multiple classes depending on the shape similarity. We performed three tasks in...
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Urdu Handwritten Characters Data Visualization and Recognition Using Distributed Stochastic Neighborhood Embedding and Deep Network
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TN_cdi_doaj_primary_oai_doaj_org_article_79392714b2574f2f992636cadc10199a
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_79392714b2574f2f992636cadc10199a
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ISSN
1076-2787
E-ISSN
1099-0526
DOI
10.1155/2021/4383037
