DocumentCode
1018748
Title
On Distributional Assumptions and Whitened Cosine Similarities
Author
Loog, Marco
Author_Institution
Fac. of Electr. Eng., Delft Univ. of Technol., Delft
Volume
30
Issue
6
fYear
2008
fDate
6/1/2008 12:00:00 AM
Firstpage
1114
Lastpage
1115
Abstract
Recently, an interpretation of the whitened cosine similarity measure as a Bayes decision rule was proposed [1]. This communication makes the observation that some of the distributional assumptions made to derive this measure are very restrictive and, considered simultaneously even inconsistent.
Keywords
Bayes methods; Bayes decision rule; distributional assumptions; whitened cosine similarities; Classifier design and evaluation; Statistical; Algorithms; Artificial Intelligence; Bayes Theorem; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Models, Statistical; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.2007.70838
Filename
4408582
Link To Document