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2009.12.25

PFIセミナー資料: 研究開発2009

昨日ありました、PFIでのセミナーでの発表資料です。

研究開発のチームの紹介の後に、2009年サーベイした論文の中で面白かった論文を
機械学習、データ構造、画像処理で紹介してます

紹介した話は
- Multi-class CW (Multi-class Confidence Weighted Learning,)
- AROW (Adaptive Regularization Of Weight Vector)
- Online-EM algorithm
- 全備簡潔木 (Fully-functional Succinct Tree)
- 圧縮連想配列 (compressed function)
- PatchMatch

です。

#資料中の簡潔木の表現方法のDFUDSの紹介でtxも使用と書いてあるのは、公開しているtxでは、
 LOUDSのみをつかっていますので正確ではありませんでした。これらは幅優先探索か深さ優先探索かの
 違いです。

ustreamの情報も用意次第アップデートします

|

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