文献
J-GLOBAL ID:201802214648669260
整理番号:18A0817529
MMDF-LDA 社会的画像アノテーションのための改良型マルチモーダル潜在Dirichlet割当モデル【JST・京大機械翻訳】
MMDF-LDA: An improved Multi-Modal Latent Dirichlet Allocation model for social image annotation
著者 (7件):
Zheng Liu
(School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China)
,
Zheng Liu
(Shandong Provincial Key Laboratory of Digital Media Technology, Shandong University of Finance and Economics, Jinan 250014, China)
,
Caiming Zhang
(Shandong Provincial Key Laboratory of Digital Media Technology, Shandong University of Finance and Economics, Jinan 250014, China)
,
Caiming Zhang
(School of Computer Science and Technology, Shandong University, Jinan 250014, China)
,
Caiming Zhang
(Shandong Co-Innovation Center of Future Intelligent Computing, Yantai 264025, China)
,
Caiming Zhang
(School of Information and Electrical Engineering, Ludong University, Yantai 264025, China)
,
Caixian Chen
(School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China)
資料名:
Expert Systems with Applications
(Expert Systems with Applications)
巻:
104
ページ:
168-184
発行年:
2018年
JST資料番号:
W0178A
ISSN:
0957-4174
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)