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2009 APSIPA Annual Summit and Conference >
Divergence, Signal Decomposition and Information Geometry
| Title: | Divergence, Signal Decomposition and Information Geometry |
| Authors: | Amari, Shun-ichi Browse this author |
| Issue Date: | 4-Oct-2009 |
| Publisher: | Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee |
| Journal Title: | Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference |
| Abstract: | Divergence measures between two probability distributions or more generally two signals play a fundamental role in designing algorithms of signal processing and adaptation. We first elucidate geometrical and invariant structures of divergence measures such as Kullback-Leibler and Bregman divergences. They are useful for designing algorithms in vision analysis, signal processing and optimization. Algorithms and frameworks of signal separation will be surveyed from the geometrical point of view. |
| Description: | APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Plenary Session 2, Keynote Speech #2 (6 October 2009) |
| Conference Name: | APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference | | 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 |
| Conference Place: | Sapporo |
| Type: | proceedings |
| URI: | http://hdl.handle.net/2115/39701 |
| Appears in Collections: | 北海道大学サステナビリティ・ウィーク2009 (Sustainability Weeks 2009) > 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 (2009 APSIPA Annual Summit and Conference)
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