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  1. 060 工学部
  2. 10 学術雑誌論文
  3. 10 査読済論文
  1. 0 資料タイプ別
  2. 01 学術雑誌論文

Look-Up-Table-Based Exponential Computation and Application to an EM Algorithm for GMM

http://hdl.handle.net/10191/30659
http://hdl.handle.net/10191/30659
90b23a86-66b7-49b6-865d-af5b1093c431
名前 / ファイル ライセンス アクション
E96-A_5_935-939.pdf E96-A_5_935-939.pdf (715.2 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2014-12-02
タイトル
タイトル Look-Up-Table-Based Exponential Computation and Application to an EM Algorithm for GMM
タイトル
言語 en
タイトル Look-Up-Table-Based Exponential Computation and Application to an EM Algorithm for GMM
言語
言語 eng
キーワード
主題Scheme Other
主題 EM algorithm
キーワード
主題Scheme Other
主題 Gaussian mixture model
キーワード
主題Scheme Other
主題 exponential function
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
著者 Watanabe, Hidenori

× Watanabe, Hidenori

WEKO 5863

Watanabe, Hidenori

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Muramatsu, Shogo

× Muramatsu, Shogo

WEKO 5864

Muramatsu, Shogo

Search repository
抄録
内容記述タイプ Abstract
内容記述 This work proposes an exponential computation with low-computational complexity and applies this technique to the expectation-maximization (EM) algorithm for Gaussian mixture model (GMM). For certain machine-learning techniques, such as the EM algorithm for the GMM, fast and low-cost implementations are preferred over high precision ones. Since the exponential function is frequently used in machine-learning algorithms, this work proposes reducing computational complexity by transforming the function into powers of two and introducing a look-up table. Moreover, to improve efficiency the look-up table is scaled. To verify the validity of the proposed technique, this work obtains simulation results for the EM algorithm used for parameter estimation and evaluates the performances of the results in terms of the mean absolute error and computational time. This work compares our proposed method against the Taylor expansion and the exp( ) function in a standard C library, and shows that the computational time of the EM algorithm is reduced while maintaining comparable precision in the estimation results.
書誌情報 IEICE transactions on fundamentals of electronics, communications and computer sciences
en : IEICE transactions on fundamentals of electronics, communications and computer sciences

巻 E96-A, 号 5, p. 935-939, 発行日 2013-05
出版者
出版者 The Institute of Electronics, Information and Communication Engineers
ISSN
収録物識別子タイプ ISSN
収録物識別子 09168508
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA10826239
DOI
識別子タイプ DOI
関連識別子 info:doi/10.1587/transfun.E96.A.935
権利
権利情報 Copyright(C)2013 IEICE
著者版フラグ
値 publisher
異版である
関連タイプ isVersionOf
識別子タイプ URI
関連識別子 http://www.ieice.org/jpn/trans_online/
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