haar中文是什么意思

發(fā)音:

中文翻譯
造句

n.
〔蘇格蘭語〕冷海霧〔伴隨有毛毛雨的濕冷海霧〕。

de haar 德哈爾
haar condition 哈爾條件
haar measure 哈爾測度
haar transform haar小波
haar小波 haar transform
alfréd haar 離散小波變換
baire and haar measure 貝利與哈爾測度
das haar, e 頭發(fā)
haar, das; -e 頭發(fā)
right invariant haar measure 右不變哈爾測度
haapsula 哈普沙盧
haapsalu 哈普薩盧; 哈普沙盧
haapsaari 哈普薩里
haapoja 哈波亞
haara 哈拉; 海雷
haapkyla 哈普屈萊

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例句與用法

In chapter 4 , i performed the analyzing work with wavelet and fastica and find that wavelet was a high efficient way to filter the cep signal when i set the wavelet and scaling function to haar , decomposing level to 4 , threshold method to fixed to threshold and white - noise structure to scaled white - noise . it took the advantage that reduced the accumulating times to 60 with more smooth signal and less distortion . but fastica takes no advantage on this facet
本文通過小波變換和獨(dú)立分量快速分析模式識別的方法對cep數(shù)據(jù)進(jìn)行了分析處理，同時(shí)與數(shù)字低通橢圓濾波器的處理效果進(jìn)行了比較，發(fā)現(xiàn)用小波對cep的數(shù)據(jù)進(jìn)行濾波處理時(shí)，可以將數(shù)據(jù)的疊加次數(shù)從120降低到60次左右，且信號的質(zhì)量要比以前的處理方法好；但是獨(dú)立分量快速分析方法效果不很好。
Its basic thought is that using amass of simple classifier which has common classified ability and through thecertain method ， at last ， constitutes a very strong classifier which has strongclassified ability carries on many times with this strong classifier to the goalpictures ， finally confirmed the pictures whether includes the human face andits the general position this algorithm uses a characteristic which called haar characteristic thischaracteristic is one kind of simple rectangular characteristic ， because it issimilar with the haar wavelet ， so called haar characteristic this kind ofcharacteristic is composed of two or many rectangles that are congruent andneighboring there are white and black kinds of rectangles in the characteristictemplate , and defines this characteristic template characteristic value as thewhite rectangle this characteristic value is that the difference between white
本文主要研究基于haar特征的adaboost算法。由于以前提出的特征中包含的人臉基本特征比較少,導(dǎo)致檢測時(shí)間過長。本文根據(jù)人臉基本特征的分布提出一種新的特征,新特征覆蓋了人的眼睛,鼻子和嘴,它由haar特征中的一些簡單特征組合而成,形狀類似卷積中用到的3階矩陣,這種新特征檢測的結(jié)果是可以檢測到人臉,時(shí)間上得到優(yōu)化。