Supplemental Material for “ Classifying Video with Kernel Dynamic Textures ”

This is the supplemental material for “Classifying Video with Dynamic Textures” [1]. It contains information about the attached videos, a brief review of kernel PCA, the “centered” versions of the algorithms discussed in the paper, and the derivation of the inner-product between the feature-transformations of two Gaussian kernels. Author email: [email protected] c ©University of California San Diego, 2007 This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of the Statistical Visual Computing Laboratory of the University of California, San Diego; an acknowledgment of the authors and individual contributors to the work; and all applicable portions of the copyright notice. Copying, reproducing, or republishing for any other purpose shall require a license with payment of fee to the University of California, San Diego. All rights reserved. SVCL Technical reports are available on the SVCL’s web page at http://www.svcl.ucsd.edu University of California, San Diego Statistical Visual Computing Laboratory 9500 Gilman Drive, Mail code 0407 EBU 1, Room 5512 La Jolla, CA 92093-0407 1