negative images 中文意思是什麼
negative images
解釋
負象-
Further, research conducted by myself at the university of maryland with doctoral students alaina brenick and alexandra henning, has shown that there is a fairly high acceptance of negative stereotypic images in videogames, and particularly by male adolescents
而且，我自己在馬里蘭大學和兩個博士生阿萊那.布雷尼克以及亞歷桑德拉.海寧的研究也表明人們，特別是男性青少年，已經普遍接受了視頻游戲負面的刻板印象。 -
Tail length, tail moment, tail dna percentage, and correction rate were compared between the improved software and the original one, and epidemiological indices for the improved software were also calculated and analyzed, including sensitivity, specificity, youden index, crude agreement, adjusted agreement, positive predictive value, negative predictive value, positive likelihood ratio, and negative likelihood ratio. results the improved software can correctly analyze most of the images to which the original one cannot give right results
比較改進前後的尾長、尾矩、尾dna百分含量上的差異、改進前後分析正確率差異、以及改進后的軟體以不同dna損傷級別為截斷值判定陽性結果的靈敏度、特異度、 youden指數、粗一致性、調整一致性、陽性預測值、陰性預測值、陽性似然比和陰性似然比。 -
In this paper we use the color auto - correlogram as the similarity metrics of images in low - level feature space, and change the bandwidth function. then we propose the semantic relevance feedback. the system react differently to the positive and negative user ' s feedback so that the system can go on learning after the annotation process by updating the probabilities of the list of attributes of the relevant images and reaching the real values
本文引入顏色自相關圖特徵作為圖像在底層特徵空間相鄰的度量，並修改了框架中帶寬的計算函數，然後引入反饋機制，對于用戶的正反饋和負反饋分別作不同的處理，以便在使用過程中，系統能夠繼續學習，根據反饋更新圖像的概率鏈表，使之逐漸接近真實情況。 -
Secure print, proof print, saved print, personal print, job completion notification, edge - to - edge printing, booklet printing, negative and mirror images, scaling, auto fit, watermarks, custom size paper, cover pages, collation, remote printing, separation pages, n - up printing, image smoothing, pdfdirect printing, saved job repository, mailinx e - mail alerts requires hard disk operating
安全列印校樣列印存儲列印個人列印作業完成通知邊到邊列印小冊子列印負片圖像與鏡像縮放自動匹配水印定製尺寸紙張封面頁分頁遠程列印分隔頁多張合一列印圖像平滑處理pdf直接列印列印作業磁盤存儲mailinx電子郵件提醒須有硬盤。 -
The study found obese girls were more likely to consider committing suicide, use alcohol and marijuana and have negative self - images
研究發現，胖女孩的自殺傾向相對一般人群要高，而胖女孩群體中，酗酒、吸食大麻的現象，以及對自我形象的不自信現象普遍存在。 -
Influenced by such ideas, studies and publications a - bout china in the west trended toward building more and more negative images of china
在這些觀念的影響下，西方關于中國的研究和著述越來越多地展現中國的負面形象。 -
We require both positive and negative images ; and the pixels of the license plate images should be 154 x 115, which is our minimum requirement
我們需要這些圖像的樣本包括圖像清晰或模糊的來作為第一階段的測試。要求車牌的寬度至少佔整個圖像寬度的1 5 。 -
N - up printing, poster printing, watermarks, negative and mirror images, booklet printing, enlarge and reduction
多張合一列印海報列印水印列印旋轉圖像小冊子製作縮放支持。 -
Index page, n - up printing, poster printing, watermarks, negative and mirror images, booklet printing, enlarge and reduction
支持標志頁多張合一海報水印圖像旋轉小冊子製作縮放 -
This approach make use of the un - labeled images and the negative images to enlarge the number of the training samples, introducing the concepts of the positive error and the negative error to judge all the positive and negative images which are qualified by adding some limits
本演算法一改以往的反饋演算法，利用未標注圖像與反例圖像增大了訓練樣本數，在一定程度上解決了訓練樣本少的問題，提高了反饋的效率。 -
Principle component analysis ( pca ), as a classical method for feature extraction, learns holistic representations of facial images, while non - negative matrix factorization ( nmf ), a recently proposed approach, learns parts - based representations of faces. however, we argue that nmf can not only learn parts - based representations but also holistic ones with different sparseness constraints
在眾多的特徵提取演算法中，基於全局特徵提取的主元成分分析（ principlecomponentanalysis ， pca ）是討論最多的經典演算法，與此對應的是基於局部特徵提取的非負矩陣分解（ non - negativematrixfactorization ， nmf ）演算法。 -
In this thesis, we propose an efficient nmfs + rbf aggregate framework for fr, in which non - negative matrix factorization with sparseness constraints ( nmfs ) is firstly applied to learn either the holistic representations or the parts - based ones by constraining the sparseness of the basis images, and then the rbf classifier is adopted for pattern classification
本文提出了一種基於非負矩陣稀疏分解（ non - negativematrixfactorizationwithsparsenessconstraints ， nmfs ）和rbf神經網路的人臉識別方法。通過控制稀疏度， nmfs演算法既可提取人臉全局也能提取局部特徵，再運用rbf神經網路進行模式分類。
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