PCA on Manifolds:Application to Spaces of Landmarks

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：nikecb

【摘要】

：

　　Principal Component Analysis(PCA)is a widely used tool for analyzing high-dimensional data.In many shape applications data lies on manifold,and PCA cannot b

【作者】

：

Kushnarev Sergey

【机构】

：

Singapore Univ.of Tech.& Design

【出处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

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　　Principal Component Analysis(PCA)is a widely used tool for analyzing high-dimensional data.In many shape applications data lies on manifold,and PCA cannot be applied in this non-linear space.

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PCA on Manifolds:Application to Spaces of Landmarks

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