Kernels for Grassmann flops
نویسندگان
چکیده
منابع مشابه
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In this paper, we focus on subspace-based learning problems, where data elements are linear subspaces instead of vectors. To handle this kind of data, Grassmann kernels were proposed to measure the space structure and used with classifiers, e.g., Support Vector Machines (SVMs). However, the existing discriminative algorithms mostly ignore the instability of subspaces, which would cause the clas...
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ژورنال
عنوان ژورنال: Journal de Mathématiques Pures et Appliquées
سال: 2021
ISSN: 0021-7824
DOI: 10.1016/j.matpur.2021.01.005