文件名称:
An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds
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文件大小: 352kb
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上传时间: 2018-04-14
详细说明： Manifold-valued datasets are widely encountered in many computer vision tasks. A non-linear analog of the PCA algorithm, called the Principal Geodesic Analysis (PGA) algorithm suited for data lying on Riemannian manifolds was reported in literature a decade ago. Since the objective function in the PGA algorithm is highly non-linear and hard to solve efficiently in general, researchers have proposed a linear approximation. Though this linear approximation is easy to compute, it lacks accuracy especially when the data exhibits a l arge variance ...展开收缩
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