tcst造句
例句與造句
- We also describes thc data structurc dcfil1ltion llscd in asic design , the way of systen1 nm and chargc function implernentation , the vay of systc111 tcst fl111ctio11ill interface dcsig11 , etc . at last , this dissertation discusses thc i3 as systci11 ' s typical application and thc current situation of our bnas product
Asic功能設(shè)計(jì)部分依據(jù)系統(tǒng)設(shè)計(jì)部分所界定的系統(tǒng)主要功能，對(duì)asic部分所采用的數(shù)據(jù)結(jié)構(gòu)、數(shù)據(jù)處理方法、計(jì)費(fèi)及網(wǎng)管功能實(shí)現(xiàn)方式，以及調(diào)試、測(cè)試接口功能實(shí)現(xiàn)方式等進(jìn)行了描述。 - This new approach first computes the motion vectors between a tcst face image and a neutral training image using the block - matching metbod , tben projects the motion vectors to a low dimensional subspace that is pre - trained by applying principal component analysis ( pca ) to motion vectors resulting from training imagcs with expression variations . this subspace is called an eigenmotion space
為了提高表情人臉識(shí)別的魯棒性，該方法首先利用塊匹配的方法來確定表情人臉和無表情人臉之間的運(yùn)動(dòng)向量，然后利用主成分分析方法( pca )從這些運(yùn)動(dòng)向量中產(chǎn)生低維子空間，稱之為特征運(yùn)動(dòng)空間。 - Second , we design an intelligent item bank system based on agent ( bais ) , and give an integratd hee of the system and all trier constructions . finally , we use the genetic algorithin based on agent to solve the kemel technology - - - - generating tcst paper and implement one system to validae it
第二，采用面向agent的分析和建模方法，來開發(fā)和設(shè)計(jì)基于agent技術(shù)的智能題庫系統(tǒng)( bais ) ，給出了一個(gè)完整題庫系統(tǒng)的構(gòu)架，工作流程和各個(gè)agent的內(nèi)部結(jié)構(gòu)，設(shè)計(jì)了基于xml的agent通信語言xacl 。 - It's difficult to find tcst in a sentence. 用tcst造句挺難的