Large Basic Cone and Sparse Subspace Constrained Nonnegative Matrix Factorization with Kullback-Leibler Divergence for Data Representation

Viet Hang Duong; Manh Quan Bui; Yung Hui Li; Jia Ching Wang; Tzu Chiang Tai

doi:10.1109/MIS.2019.2923188

Large Basic Cone and Sparse Subspace Constrained Nonnegative Matrix Factorization with Kullback-Leibler Divergence for Data Representation

Viet Hang Duong, Manh Quan Bui, Yung Hui Li, Jia Ching Wang, Tzu Chiang Tai

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

1 引文斯高帕斯（Scopus）

摘要

In this article, a new constrained NMF model with Kullback-Leibler (KL) divergence is developed for data representation. It is called large basic cone and sparse representation-constrained nonnegative matrix factorization with Kullback-Leibler divergence (conespaNMF_KL). It achieves sparseness from a large simplicial cone constraint on the base and sparse regularize on the extracted features.

原文	???core.languages.en_GB???
文章編號	8736757
頁（從 - 到）	39-47
頁數	9
期刊	IEEE Intelligent Systems
卷	34
發行號	4
DOIs	https://doi.org/10.1109/MIS.2019.2923188
出版狀態	已出版 - 1 7月 2019

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10.1109/MIS.2019.2923188

智慧型照護互動系統－基於深度智能之口語處理技術(2/4)
Wang, J.-C. (PI)
1/01/19 → 31/12/19
研究計畫: Research

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abstract = "In this article, a new constrained NMF model with Kullback-Leibler (KL) divergence is developed for data representation. It is called large basic cone and sparse representation-constrained nonnegative matrix factorization with Kullback-Leibler divergence (conespaNMF_KL). It achieves sparseness from a large simplicial cone constraint on the base and sparse regularize on the extracted features.",

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AU - Duong, Viet Hang

AU - Bui, Manh Quan

AU - Li, Yung Hui

AU - Wang, Jia Ching

AU - Tai, Tzu Chiang

PY - 2019/7/1

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KW - Data representation

KW - face recognition

KW - facial expression recognition

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Large Basic Cone and Sparse Subspace Constrained Nonnegative Matrix Factorization with Kullback-Leibler Divergence for Data Representation

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智慧型照護互動系統－基於深度智能之口語處理技術(2/4)

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