December 2014
Intermediate to advanced
640 pages
19h 7m
English
book
Emerging Trends in Image Processing, Computer Vision and Pattern Recognition
by Leonidas Deligiannidis, Hamid R Arabnia
Content preview from Emerging Trends in Image Processing, Computer Vision and Pattern Recognition
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Chapter 36
Distances and kernels based on cumulative distribution functions
Hongjun Su; Hong Zhang Department of Computer Science and Information Technology, Armstrong State University, Savannah, GA, USA
Abstract
Similarity and dissimilarity measures such as kernels and distances are key components of classification and clustering algorithms. We propose a novel technique to construct distances and kernel functions between probability distributions based on cumulative distribution functions. The proposed distance measures incorporate global discriminating information and can be computed efficiently.
Keywords
Cumulative distribution function
Distance
Kernel
Similarity
1 Introduction
A kernel is a similarity measure that is the key component ...