RKHS Representation of Measures Applied to Homogeneity, Independence, and Fourier Optics

By Bernhard Schölkopf, Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Jetter, Steve Smale, D.-X. Zhou. 2008

4 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Stefan Harmeling
2. Michael Hirsch
3. Bernhard Schölkopf
4. Aapo Hyvärinen
5. Kristen Grauman
6. Tae Hyun Kim
7. Krikamol Muandet
8. Andrea Vedaldi

Citations in the corpus

• On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit (2013, background): “j) = 0, implies that all coecients vanish, a i= 0 for all i. Any positive denite kernel induces a mapping x7!k(x;:) (1) 1This link was pointed out during a mathematical workshop in Oberwolfach, see [25]. 2 into a reproducing kernel Hilbert space (RKHS), which is a Hilbert space of functions f: X!R w”
• Hilbert Space Embeddings and Metrics on Probability Measures (2009, background): “Compared to Sriperumbudur et al. (2008), we now present simple proofs for these results without resorting to distribution theory.”