Choosing Between Normalized and Absolute Scoring

For most applications, you should choose normalized scoring. Select absolute scoring only if you want to search for inverted instances of the model. In general, selecting absolute scoring increases the amount of confusion in an image, and it can prevent CNLSearch from finding actual instances of the model.