Classification Using Residual Vector Quantization with Markov-Bayesian Structure
Syed Irteza Ali Khan, David V. Anderson, Christopher F. Barnes · 2015
In this work, for a given a set of code vector assignments to an input by a multistage residual vector quantizer RVQ [1], Bayesian framework is formulated to find the most probable class membership of the input. Furthermore, Markov structure is also used to improve the memory cost of the classification.