The paper focuses on the potential of principal directions based approaches in signal classification and recognition. In probabilistic models. the classes are represented in terms of multivariate density functions. and an object coming from a certain class is modeled as a random vector whose repartition has the density function corresponding to this class. https://www.markbroyard.com/