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segmentation system in Chinese

Pronunciation:
How to pronounce "segmentation system""segmentation system" in a sentence

Translationmobile phoneMobile

  • 段式系統(tǒng)

Examples

  • However , there are some problems in the original method , such as low availability of the extracted fragments , error position of the match results , and high complexity of the algorithm etc . in this thesis , a novel method to extract fragments is proposed , and it improves the availability of the extracted fragments ; a novel match method called her is also proposed , which is a hybrid one combining the object ’ s edge and region features , and its advancement is showed in the experimental results ; a prototypal top - down image object segmentation system named io - seg is devised and implemented in this thesis , which is based on class - specific fragment and integrates the methods proposed in this thesis
    由于csf - seg方法存在提取的子圖可用性差、匹配位置誤差大、計(jì)算復(fù)雜性高等問題,通過深入分析和研究,本文提出了一種新的提取子圖的方法,提高了產(chǎn)生的子圖的有效性;在深入研究匹配方法的基礎(chǔ)上,提出了一種新的結(jié)合對象邊緣和區(qū)域的形狀匹配方法? ? her方法,通過實(shí)驗(yàn)證明了該方法的優(yōu)越性;最后,結(jié)合文中提出的方法設(shè)計(jì)并實(shí)現(xiàn)了一個(gè)top - down的圖像對象分割原型系統(tǒng)io - seg 。
  • Within this framework , according to the semma ( sample - explore - modify - model - assess ) from sas , the customer segmentation system based on data warehouse was designed and implemented , which is running on the hardware platform of the business analysis as the subsystem of it , including data collection and preprocess module , clustering analysis module , model application module and system administration module
    該系統(tǒng)以k - m - d算法為核心,根據(jù)sas公司提出semma ( sample - explore - modify - model - assess )方法論,由數(shù)據(jù)采集與預(yù)處理模塊、聚類分析模塊、模型應(yīng)用模塊和系統(tǒng)管理模塊構(gòu)成。該系統(tǒng)成為經(jīng)營分析系統(tǒng)的子系統(tǒng),運(yùn)行于經(jīng)營分析系統(tǒng)的硬件平臺(tái)之上。
  • Chinese information processing model is added to the traditional search engine , which can make search engine intelligent and personalized . chinese automatic word segmentation is the first work in chinese information processing . in this paper , a chinese word segmentation system is studied , which fits for intelligence search engine
    針對歧義字段的劃分問題,提出了歧義字段劃分的三個(gè)原則,在三原則的基礎(chǔ)上給出了“二字續(xù)分法”分詞的方案,該方案能夠快速有效的分解大部分的歧義字段,具有很高的實(shí)用價(jià)值。
  • In last part of this paper , we introduce the general - purpose word segmentation system in modern chinese ( gpws ) and analyse the set of criteria for the evaluating a general - purpose segmentation system in terms of its comprehensiveness , extensibility and adaptiveness , and interactiveness besides precision
    其次,本文概要的分析了通用型分詞系統(tǒng)的難點(diǎn),闡述了gpws的解決方案,給出了通用分詞系統(tǒng)的評(píng)價(jià)標(biāo)準(zhǔn);并提出了交互式分詞系統(tǒng)的概念,給出了一種簡單的交互式方法。
  • Disambiguity and recognition of unknown words are most important points for design of word segmentation systems . in this paper , firstly , we introduce an applied strategy to disambiguity . then we put forward an integrated and fast recognition strategy of proper noun , including chinese person names , chinese place names , translated foreign names and corporation & organization names , in modern chinese word segmentation system , which successfully resolves the conflict among these proper nouns and ordinary words
    本文首先闡述了現(xiàn)代漢語通用分詞系統(tǒng)( gpws )中歧義切分技術(shù)和專名識(shí)別技術(shù),在歧義切分技術(shù)中,提出了一種切分規(guī)則庫與基于歧義知識(shí)庫動(dòng)態(tài)校正相結(jié)合的實(shí)用歧義處理策略;在專名識(shí)別技術(shù)中,本文提出了一種專名(包括譯名在內(nèi)的人名、地名、企業(yè)字號(hào)、企業(yè)名和機(jī)構(gòu)名等)一體化、快速識(shí)別方法。
  • Ocr system is the optical character recognition system , which has far - ranging use in many aspects such as auto - input and digital library . it is composed of two primary part - online recognition and offline recognition . the page segmentation system we have studied in this paper is a crucial part of the offline recognition
    Ocr ( opticalcharacterrecognition )系統(tǒng)的中文全稱是光學(xué)字符識(shí)別系統(tǒng),它廣泛應(yīng)用于文字的自動(dòng)錄入,實(shí)際上是一種實(shí)現(xiàn)文字自動(dòng)輸入的快捷省力的輸入方法,能夠極大地減輕數(shù)據(jù)錄入工作的強(qiáng)度、提高數(shù)據(jù)錄入的速度,可廣泛應(yīng)用于電子出版、 internet網(wǎng)上資源數(shù)據(jù)庫和數(shù)字圖書館的建設(shè)。
  • This dissertation discusses image segmentation technology based on the image visual features , the image neighborhood moment analysis and the related image detection and segmentation system . and the key functional modules ’ analyzed are as follows : the image neighborhood moment ’ s analysis , the adaptive clustering after the visual moment transformation , the boundary detection of the object image and the extraction of the object image area of similar visual brightness
    本文討論了圖像視覺特征鄰域矩分析和基于視覺特征矩的檢測分割技術(shù),并分析系統(tǒng)中的關(guān)鍵模塊:圖像鄰域分析,視覺特征矩變換后的自適應(yīng)聚類,目標(biāo)圖像的邊緣檢測,視同灰度區(qū)域的視同灰度提取。
  • Meanwhile , the online chinese word segmentation systems only provide test function and have such defects as processing small - scale text , inconvenient usage , no interface for program calling , etc . grid is a novel technology following the internet and www in recent years , which can offer distributed parallel environment
    同時(shí),在分詞應(yīng)用方面,基于網(wǎng)絡(luò)的在線測試分詞系統(tǒng)僅提供測試功能,存在只能處理少量文本、用戶使用不方便、程序無法直接調(diào)用等缺點(diǎn)。網(wǎng)格是近年來繼internet 、 www技術(shù)后興起的一種新技術(shù),能為復(fù)雜應(yīng)用提供分布式并行環(huán)境。
  • We attempt to exploit various machine - learning techniques to learn the heuristic knowledge from users " experiences , so that the image segmentation system can have some human ability in adaptively selecting optimal algorithm and corresponding parameters . learning based image segmentation system can be classified i
    希望使用機(jī)器學(xué)習(xí)的技術(shù),通過從用戶對訓(xùn)練圖像集的分割和評(píng)價(jià)中學(xué)習(xí)相應(yīng)的啟發(fā)式知識(shí),以此使系統(tǒng)能夠根據(jù)圖像的特征,為不同的圖像靈活的選擇參數(shù)或算法,從而自動(dòng)實(shí)現(xiàn)令人滿意的分割。
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