We present a method for automatically learning discriminative image patches for the recognition of given object classes. The approach applies discriminative training of log-linear...
Digital photographs are replacing tradition films in our daily life and the quantity is exploding. This stimulates the strong need for efficient management tools, in which the anno...
Ming Zhao 0003, Yong Teo, Siliang Liu, Tat-Seng Ch...
Abstract. We present a new approach to biometrics that makes probabilistic inferences about matching without ever estimating an identity "template". The biometric data is...
Simon J. D. Prince, Jania Aghajanian, Umar Mohamme...
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
Enabling computer systems to recognize facial expressions and infer emotions from them in real time presents a challenging research topic. In this paper, we present a real time ap...