Joint Optimization of Distributed Broadcast Quantization Systems for Classification

We develop a simulated annealing technique to jointly optimize a distributed quantization structure meant to maximize the asymptotic error exponent of a downstream classifier or detector. This distributed structure sequentially processes an input vector and exploits broadcasts to improve the best possible error exponents. The annealing approach is a robust technique that avoids local maxima and is easily tailored to a broadcast quantizer's structural constraints.

• Type: Conference
• Year: 2007
• Where: DCC
• Authors: Michael A. Lexa, Don H. Johnson
• Keywords: Asymptotic Error Exponent, Computer Graphics, DCC 2007, Possible Error Exponents, Simulated Annealing Technique