Factorization of the translation kernel for fast rigid image alignment

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چکیده

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15 صفحه اول

Optimization of Kernel Alignment by Data Translation in Feature Space

Kernel-target alignment is commonly used to predict the behavior of reproducing kernels in a classification context, without training any kernel machine. In this paper, we show that a poor position of training data in feature space can drastically reduce the value of alignment. This implies that, in a kernel selection setting, the best kernel of a given collection may be characterized by a low ...

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ژورنال

عنوان ژورنال: Inverse Problems

سال: 2020

ISSN: 0266-5611,1361-6420

DOI: 10.1088/1361-6420/ab4e66