— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...
This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network ca...
The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...
Weuse a quantitative definition of specificity to developa neural networkfor the identification of commonprotein binding sites in a collection of unaligned DNAfragments. Wedemonst...
Camera calibration is a primary crucial step in many computer vision tasks. In this paper we present a new neural approach for camera calibration. Unlike some existing neural appr...