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A Primer on Reproducing Kernel Hilbert Spaces



Author(s): Jonathan H. Manton;Pierre-Olivier Amblard

Source:
    Journal:Foundations and Trends® in Signal Processing
    ISSN Print:1932-8346,  ISSN Online:1932-8354
    Publisher:Now Publishers
    Volume 8 Number 1-2,
Pages: 126(1-126)
DOI: 10.1561/2000000050
Keywords: Reproducing Kernel Hilbert Spaces

Abstract:

Reproducing kernel Hilbert spaces are elucidated without assuming prior familiarity with Hilbert spaces. Compared with extant pedagogic material, greater care is placed on motivating the definition of reproducing kernel Hilbert spaces and explaining when and why these spaces are efficacious. The novel viewpoint is that reproducing kernel Hilbert space theory studies extrinsic geometry, associating with each geometric configuration a canonical overdetermined coordinate system. This coordinate system varies continuously with changing geometric configurations, making it well-suited for studying problems whose solutions also vary continuously with changing geometry. This primer can also serve as an introduction to infinite-dimensional linear algebra because reproducing kernel Hilbert spaces have more properties in common with Euclidean spaces than do more general Hilbert spaces.