Boosting Methods For Object Categorization
Given images containing various known objects in the world, a classifier can be learned from them to automatically categorize the objects in future images. Simple classifiers built based on some image feature of the object tend to be weak in categorization performance. Using boosting methods for object categorization, then, is a way to unify the weak classifiers in a special way to boost the overall ability of categorization.
Read more about Boosting Methods For Object Categorization: Problem of Object Categorization, Status Quo For Object Categorization, Boosting Methods in Machine Learning
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