Andrew D. Ker Oxford University Computing Laboratory / Cambridge University Press / MIT Press / /
Country
United Kingdom / / /
Facility
National Taiwan University / /
IndustryTerm
grid search / specified search range using geometric steps / multinomial classification algorithms / inner product / grid-search / optimization algorithm / machine learning algorithm / steganalysis algorithms / performed using grid search / software packages / well established machine learning tool / search space / steganalysis applications / /
OperatingSystem
GNU / /
Organization
Oxford Supercomputing Centre / Cambridge University / MIT / SVM LR / Oxford University / U.S. Securities and Exchange Commission / National Taiwan University / /
Person
Linear Discriminant / / /
Position
author / ABSTRACT We advocate / Fisher / GNU General Public License / /
Product
Break Our Watermarking System (BOWS2) / Logistic Regression / using Logistic Regression / /
ProgrammingLanguage
MATLAB / C / C++ / /
PublishedMedium
MACHINE LEARNING / /
Technology
one-bit algorithms / JPEG / embedding algorithm / machine learning algorithm / Newton algorithm / Xeon E5540 processors / multinomial classification algorithms / http / known algorithm / machine learning / quasi-SMO algorithm / Image Processing / digital camera / SMO algorithm / two algorithms / SVM optimization algorithm / steganalysis algorithms / using a known algorithm / /
Steganalysis using Logistic Regression Ivans Lubenko and Andrew D. Ker Oxford University Computing Laboratory, Parks Road, Oxford OX1 3QD, England. ABSTRACT We advocate Logistic Regression (LR) as an alternative to the S