About me
I suppose I should start with the important bits, and to most people that means research. I am in my final year as a Ph.D. student in the Department of Computer Science at UC Santa Cruz. I also spend a great deal of time at Los Alamos National Laboratory. My primary research interest in boosting algorithms that are robust to noise. I am also interested in optimization theory and applying these algorithms to problems in imagery.
Current work
I am currently working on sparse canonical correlation analysis (CCA). Like principal component analysis (PCA), CCA involves a rotation of the original intput variables into a new basis, and each component of the new basis is usually a convex combination of all of the original input variables. A sparse version of CCA would find a new basis with the restriction that it may be a combination of at most k of the original variables.
© 2008 Karen Glocer | Original design by Andreas Viklund.