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Signature verification using conic section function neural network
(Springer-Verlag Berlin, 2005)
This paper presents a new approach for off-line signature verification based on a hybrid neural network (Conic Section Function Neural Network-CSFNN). Artificial Neural Networks (ANNs) have recently become a very important ...
Support vector regression for surveillance purposes
(Springer-Verlag Berlin, 2006)
This paper addresses the problem of applying powerful statistical pattern classification algorithm based on kernel functions to target tracking on surveillance systems. Rather than directly adapting a recognizer we develop ...