semantic content造句
例句與造句
- In research two , it was the effects of semantic contents of the subgoal labels had been consid
總之，本研究追蹤國際心理學對樣例學習領(lǐng)域的研究前沿，梳理并歸納 - The annotation client asks the user to choose the semantic content of the annotation target area from the data source subtypes returned by passing
注釋客戶端要求用戶從數(shù)據(jù)源子類型（通過將 - The present paper discusses japanese verbs and adjectives with regard to their morphological shapes , semantic contents and syntactic functions
摘要本論文的目的在于針對日語的動詞與形容詞，分析并比較其形態(tài)變化、語意內(nèi)涵與句法功能。 - It extract low - level visual features such as color , texture , shape etc , but these low - level features contain little on high - level semantic contents
Cbir目前主要提取的是顏色、紋理、形狀等底層視覺特征，而這些特征難以表示圖像的高層語義特征。 - Data sources can also have an optional subtype specifying the type of semantic content of the data object inventory , human resources , research experiment , and so forth
數(shù)據(jù)源同樣也可能有一個可選的子類型，用來指定數(shù)據(jù)對象（詳細目錄、人力資源、研究實驗，等等）的語義內(nèi)容的類型。 - It's difficult to find semantic content in a sentence. 用semantic content造句挺難的
- It cares very much , however , about whether a subject is specific " the sky " or not " sky " because the semantic content of the sentence is changed radically by that difference
然而，它非常關(guān)心主語是特定的（ “ the sky ” ）還是非特定的（ “ sky ” ） ，因為這一區(qū)別會使句子的語義內(nèi)容發(fā)生根本的改變。 - The current information retrieval technologys just offer keywords - based searching , but ignore the semantic content of the keywords itself . they still have many limits and their capabilities need to be enhanced
而現(xiàn)有的信息檢索技術(shù)卻存在很大的局限性，它僅提供了基于關(guān)鍵字的檢索，而忽略了關(guān)鍵字本身所含的語義內(nèi)容，無法滿足用戶極具個性化的查詢需求。 - For example , the dtd contains certain semantic features that determine which elements can or must occur inside other elements . the docbook tags are applied so that they have a certain " common sense " semantic content , at least to english speakers
除此之外， xml schema提供了進一步限制元素或?qū)傩缘目稍试S內(nèi)容的機制甚至可以設(shè)置值的有效范圍或定義內(nèi)容必須遵守的正則表達式！ - It including several knowledge repositories as well as three modules of web pages preprocessor , rule learning and information extraction , describing the web pages by four sides : semantic content display , logic structure , rule generation and extraction results
系統(tǒng)包括幾個知識庫以及網(wǎng)頁預(yù)處理、規(guī)則學習和信息抽取三個子模塊,分別從語義內(nèi)容表示、邏輯結(jié)構(gòu)、規(guī)則生成以及抽取結(jié)果四個層面對web頁面進行描述。 - In recent year , content - based image retrieval ( cbir ) has been an increasingly active research , cbir is very useful in various areas , but is extremely difficult to put into use , because the computer has very limited ability in understanding and analyzing the semantic content of the image
<中文摘要> =基于內(nèi)容的視頻信號和圖像數(shù)據(jù)庫檢索的研究，是近年來非?；钴S的研究領(lǐng)域。它有著極其廣闊的應(yīng)用前景，但解決起來卻又極為困難，難度主要在于計算機對于圖像的理解，很難對圖像的內(nèi)容進行語義上的解釋。 - It pays main attention on the building and implementation of the graph and image managing and application system on the distributed computing platform of windows dna . the system realized the transmitting , storing and using of graph and image data through network . based on the semantic information provided by the user , the system performs the semantic content - based retrieval , extracts proper images from the database and merges together in one page
側(cè)重于在windowsdna分布式計算平臺上構(gòu)建和實現(xiàn)圖形圖像數(shù)據(jù)管理使用系統(tǒng)，實現(xiàn)在網(wǎng)絡(luò)上圖形圖像數(shù)據(jù)的傳輸、存儲和使用，并根據(jù)用戶提供的語義信息，進行按語義內(nèi)容檢索，從數(shù)據(jù)庫中提取圖像進行組合，生成可解釋頁面?zhèn)鬟f到客戶端。 - To promote information service ability of digital libraries , a browsing and searching personalized recommendation framework based on the use of ontology is described , where the advantages of ontology are exploited in different parts of the retrieval cycle including query - based relevance measures , semantic user preference representation and automatic update , and personalized result ranking . both the usage and information resources can be exploited to extract useful knowledge from the way users interact with a digital library . through combination and mapping between the extracted knowledge and domain ontology , semantic content retrieval between queries and documents can be utilized . furthermore , ontology - based conceptual vector of user preference can be applied in personalized recommendation feedback
為了提高數(shù)字圖書館信息服務(wù)的能力,描述了一個基于本體的用戶瀏覽和搜索個性化推薦系統(tǒng)框架.該框架將本體的優(yōu)點應(yīng)用于檢索周期中,包括提問相關(guān)測度、語義化的用戶興趣表達和自動更新、以及個性化的檢索結(jié)果排序等.在用戶訪問數(shù)字圖書館的交互過程中,可通過本體來構(gòu)造用戶提問和文檔內(nèi)容的匹配機制以實現(xiàn)語義化的內(nèi)容檢索,并可進一步使用本體來構(gòu)造用戶興趣偏好的概念向量以實現(xiàn)面向用戶的個性化推薦反饋 - Voice conversion , as a important part of speech signal processing , is a method which transforms the source speech to converted speech with character information of target speaker , and in voice conversion , the semantic content and environment information of source speaker are remained . voice conversion refers to signal processing , artificial intelligence , acoustics and other fields . it is a typical creature of subjects crossing and has closely relationship with speech recognition , coding , and synthesis , as well as there is resemblance between voice conversion and speaker verification / recognition
研究表明,在線性多變量回歸的改進實驗中,由于引入了時間概念,使男聲-女聲的轉(zhuǎn)換平均時間修正度約為21 . 1 % ;在多項式回歸、線性多變量回歸和支持向量回歸的對比實驗中,多項式回歸在男聲到男聲的轉(zhuǎn)換和線性多變量回歸在女聲到女聲的轉(zhuǎn)換中,出現(xiàn)了頻譜距離增大的現(xiàn)象,而支持向量回歸方法使所有的轉(zhuǎn)換語音都具有更好的目標傾向性。