请高手帮我翻译下面文字(中译英)

发布网友发布时间：2022-04-30 20:00

共2个回答

热心网友时间：2022-06-30 12:23

An examination of person is an initial link for identify, the problem that it handle is to confirm the picture( or image) to win whether exist person's face, if the existence then carries on the fixed position to person's face.The applied realm of an examination of person is very extensive, is one of the important steps that carries out the machine intelligence to turn.
The calculate way of AdaBoost is an examination of a kind of fast person calculate way put forward in 1995, is the progress of an examination of person realm milestone type, this kind of calculate way according to the feedback of the weak study, the adaptability ground adjusted the supposed mistake rate, make under the condition that efficiency does not lower, examined the correctness to get the very big exaltation.
The This thesis the usage Haar the characteristic sets the up the the weak classification machine, the the usage the classic Adaboost the method trained the the strong the classification machine, the the system the related the the theories knowledge the of the the calculate way the of Adaboost, the and at the use the the small scale the typical model the data to the experimented to the compare the the result of the the procere up, pass to compare time to consume, the memory take up, declining the comparison of 维 , identifying the mistake rate etc., basic carried out the classification function of the machine.

热心网友时间：2022-06-30 12:24

The person face examination is the most important link which the person face distinguishes, its processing question is confirmed that image (or phantom) whether to have the person face, if exists carries on the localization to the person face. The person face examination's application domain is quite widespread, realizes one of machine intellectualization important steps. the AdaBoost algorithm is one kind of fast person face examination algorithm which in 1995 proposed, is the person face examination domain milestone-like progress, this algorithm acts according to the weak study the feedback, compatibly the adjustment supposition's error rate, causes, in the efficiency does not rece in the situation, the examination accuracy had the very big enhancement. the present paper used the Haar characteristic to construct the weak sorter, the use classics Adaboost method trains the strong sorter, the system narrated the Adaboost algorithm's theoretical knowledge, and experimented above the use small scale typical data has compared the procere effect, through the comparison time consumption, the memory took, the dimensionality rection proportion, recognition error rate and so on, has realized sorter's functions basically.