摘要 With the increase in massive digitized datasets o

本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。

原文連結

• SFI 頁面
• DOI

論文資訊

• 類型：已發表論文
• 日期：2022-08-23

摘要

With the increase in massive digitized datasets of 文化 artefacts, 社會 and 文化 scientists have an unprecedented opportunity for the discovery and expansion of 文化 theory. The WikiArt dataset is one such example, with over 250,000 high quality images of historically significant artworks by over 3000 artists, ranging from the 15th century to the present day; it is a rich source for the potential mining of patterns and differences among artists, genres, and styles. However, such datasets are often difficult to analyse and use for answering complex questions of 文化 演化 and divergence because of their raw formats as image files, which are represented as multi-dimensional tensors/matrices. Recent developments in 機器學習, multi-modal data analysis and image processing, however, open the door for us to crea

※ 此為已發表論文，全文需透過期刊付費取得