hmm hidden markov model 中文意思是什麼
hmm hidden markov model
解釋
隱含馬爾可夫模型-
Experimental results show that the cascading of the speech enhancer and a hidden markov model ( hmm ) based speech recognizer can significantly improve recognition accuracy in noisy environments without performance degradation for clean speech
通過3種不同的增強演算法用於純凈語音和3種類型帶噪語音的實驗結果分析比較表明，這一方法對純凈語音的識別精度幾乎沒有任何改變而大大提高了系統的抗噪聲性能。 -
The uyghur pos tagging is studied by applying the probabilistic method and the unigram hidden markov model ( hmm ) is adopted
本文採用了一階隱馬爾可夫模型，並且通過rft相對概率訓練獲得了模型參數。 -
As a statistics model, hidden markov model ( hmm ) have been widely used in pattern recognition and stochastic signal processing
隱馬爾科夫模型（ hiddenmarkovmodel ，簡記為hmm ）作為一種統計模型，在模式識別與隨機信號處理中有著廣泛的應用。 -
Wlththe fleetingprogress ofcomputerteccioanddlgltaltechology ， newly devefoped duntlzed medicine techniques go on expending ， while computed radlographyls atyplcalmethods itheprocedure ofcomputedradlographylmaging ， we should irstlygetacross the characters ofklnds ofnolses andthe relationship betweenthe image signals andnolses basedonthe specialties o 土 computedradlo graphy images and medical image processing ， we h 。 e study the filtering methods r competed radlography images noises our mmor wo indudes ： 1 on the base of analyzing computed radlography imaging system in detail ， the author th 讓出 that the mnyor … noises are gausslanwie noise and polsson noise then ， the dlfferemrelationshlp ofbe 加 eentwo kinds ofnolses and sipal were studied completely 21 by conslderingboththe charactenstlcs ofcomputed radlography images andthe statistical feres ofwavelettransformed images ， a multlscale image iltenng algonthln ， which based on wo state hidden markov model （ hmm ） and mlxtule gausslan statistical model ， has been used to decrease the gausslan white noise in compmed images we expenmems as well as the comparison ith other denolsing methods werepresentedatlast ，
在cr成像過程中，不可避免地引入各種噪聲干擾，極大地影響了醫生診斷的準確性，為此，只有弄清干擾圖像信息的各種噪聲的來源、特徵及其與信號的相互關系，才能有效地將之消除。結合cr影像以及醫學圖像處理的特點，本文研究了cr影像噪聲濾除的方法。主要工作有： [ 1 ]在詳細地分析cr成像系統的基礎上，指出固有噪聲和泊松噪聲是影響成像質量的兩種主要噪聲，並深入地討論了這兩種噪聲與圖像信號之間的相互關系。 -
In this paper, an adaptive hidden markov model ( ahmm ) approach for on - line hand - drawn shape recognition is presented. in our method, hmms are chosen as the core recognizer due to its great ability to model stochastic time series. many improvements are made to the traditional hmm recognizer in order to increase the flexibility of the recognition system, the resulting framework can not only adaptively learn from training data, but also can adapt system behavior to input hand - drawn shape
本文提出了一種用於聯機手繪圖形的自適應隱馬爾科夫模型識別方法，該方法利用隱馬爾可夫模型（ hmm ）對時序隨機序列的描述能力作為手繪圖形識別中的核心分類器，並且在傳統hmm識別結構的基礎上進行了改進，使得識別系統不僅具有自適應學習訓練樣本的能力，而且具有根據輸入圖形特徵調節系統行為的能力。
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