Facial Features Classification Using the Temporal Correlation Matrix Memory (TCMML)

This paper examines the motivation and concepts of dynamic encoders (for binary neural networks) introduced by Shah in the author´s RASC 2004 and 2006 conference papers. Further to this, the paper extends the claims made by Shah et al. in their IJCNN2007 conference paper about dynamic encoders and offers a different understanding to using dynamic encoders. In addition the paper also derives the improved correlation matrix memory (CMML) (first introduced by Shah et al.) via practical considerations (as opposed to a theoretical concept), supplies a theorem that provides the missing justification over the use of the improved adjective, before finally enhancing the CMML into the improved temporal correlation matrix memory (TCMML) together with a brief discussion on an application for recognising facial features.