Interactive pattern analysis and classification utilizing prior knowledge

摘要

An approach to interactive pattern recognition is described which provides for using a priori problem knowledge. The a priori knowledge is either in the form of uncertain correlation information among features or new features which are nonlinear functions of original features. In effect a problem model is interactively constructed in the computer along with uncertain estimates of the parameters characterizing the model. Provision then exists for updating estimates using supervised or unsupervised training samples. The resulting interactive system is designed for waveforms, pictures, or vectors.