We present a method for learning discriminative linear feature extraction using independent tasks. More concretely, given a target classification task, we consider a complementary...
—In this paper, we present a novel image classification system that is built around a core of trainable filter ensembles that we call Volterra kernel classifiers. Our system trea...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Ha...
We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random 1 approach [18], which is considered the stateof-the-art....
Human face detection plays an important role in many applications such as video surveillance, face recognition, and face image database management. This paper describes a fast fac...
A major goal for face recognition is to identify faces where the pose of the probe is different from the stored face. Typical feature vectors vary more with pose than with identit...