Sample Selection Based on Minimum Likelihood Ratio
Gang Liu, Yujing Cui, Honggang Zhang, Jun Hai Guo · 2007
Training data have important effect on recognition system performance. This paper proposes an algorithm of sample selection based on minimum likelihood ratio (MLR) which obtaining boundary samples for training. The experiment results show that this method is effective in improving performance of the recognition system.