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 canonica 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.
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18 December 2015
Research Article|
December 18 2015
A Primer on Reproducing Kernel Hilbert Spaces
Jonathan H. Manton;
Jonathan H. Manton
The University of Melbourne
, Victoria 3010, Australia
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Pierre-Olivier Amblard
Pierre-Olivier Amblard
CNRS
, Grenoble 38402, France
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Online ISSN: 1932-8354
Print ISSN: 1932-8346
© 2015 J. H. Manton and P.-O. Amblard
2015
J. H. Manton and P.-O. Amblard
Licensed re-use rights only
Foundations and Trends in Signal Processing (2015) 8 (1-2): 1–126.
Citation
Manton JH, Amblard P (2015), "A Primer on Reproducing Kernel Hilbert Spaces". Foundations and Trends in Signal Processing, Vol. 8 No. 1-2 pp. 1–126, doi: https://doi.org/10.1561/2000000050
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