A Gentle Introduction to the Kernel Distance

Details A Gentle Introduction to the Kernel Distance A Gentle Introduction to the Kernel Distance

2011-03-08

arxiv.org/abs/1103.1625v2

Computer Science

Computational Geometry

Scientific paper

This document reviews the definition of the kernel distance, providing a gentle introduction tailored to a reader with background in theoretical computer science, but limited exposure to technology more common to machine learning, functional analysis and geometric measure theory. The key aspect of the kernel distance developed here is its interpretation as an L_2 distance between probability measures or various shapes (e.g. point sets, curves, surfaces) embedded in a vector space (specifically an RKHS). This structure enables several elegant and efficient solutions to data analysis problems. We conclude with a glimpse into the mathematical underpinnings of this measure, highlighting its recent independent evolution in two separate fields.

Affiliated with

Also associated with

No associations

Rating

A Gentle Introduction to the Kernel Distance does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Gentle Introduction to the Kernel Distance, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Gentle Introduction to the Kernel Distance will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-642724