文献
J-GLOBAL ID:202002255089768039
整理番号:20A2283193
非再パラメータ化変分推論とStdアニーリングによるGauss混合変分オートエンコーダによる教師なしクラスタリング【JST・京大機械翻訳】
Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing
著者 (7件):
Li Zhihan
(Beijing National Research Center for Information Science and Technology (BNRist),Tsinghua University,Beijing,China)
,
Zhao Youjian
(Beijing National Research Center for Information Science and Technology (BNRist),Tsinghua University,Beijing,China)
,
Xu Haowen
(Beijing National Research Center for Information Science and Technology (BNRist),Tsinghua University,Beijing,China)
,
Chen Wenxiao
(Beijing National Research Center for Information Science and Technology (BNRist),Tsinghua University,Beijing,China)
,
Xu Shangqing
(Beijing National Research Center for Information Science and Technology (BNRist),Tsinghua University,Beijing,China)
,
Li Yilin
(Beijing National Research Center for Information Science and Technology (BNRist),Tsinghua University,Beijing,China)
,
Pei Dan
(Beijing National Research Center for Information Science and Technology (BNRist),Tsinghua University,Beijing,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
IJCNN
ページ:
1-8
発行年:
2020年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)