By Topic

Jensen-Shannon divergence and Hilbert space embedding

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Fuglede, B. ; Dept. of Math., Copenhagen Univ., Denmark ; Topsoe, F.

This paper describes the Jensen-Shannon divergence (JSD) and Hilbert space embedding. With natural definitions making these considerations precise, one finds that the general Jensen-Shannon divergence related to the mixture is the minimum redundancy, which can be achieved by the observer. The set of distributions with the metric √JSD can even be embedded isometrically into Hilbert space and the embedding can be identified.

Published in:

Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on

Date of Conference:

27 June-2 July 2004