The first part of the book is concerned with rings and modules, matrices over a ring, affine geometry and projective geometry over a Bezout domain.

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The paper aims at the difficulty of preference representation, according to the concept of preference number and structure and compound rule, builds the model for aggregating group preference, and denotes preference structure with model of neural network, then gives out a methodology that preference is denoted by interval number, builds the model based on neural network and group preference, so preference representation is nonlinear, self-adapting, relearning.

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It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.

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A new algorithm Eclat~+ was brought out, which is an improvement of Eclat and show good performance with a lot of datasets. We compare the two vertical formats, Tidset and Diffset.

本文系統(tǒng)地比較了Tidset垂直數(shù)據(jù)表示和Diffset垂直數(shù)據(jù)表示，對稀疏數(shù)據(jù)集久久99高清视频，采用Tidset表示的數(shù)據(jù)庫的規(guī)模遠(yuǎn)遠(yuǎn)小于Diffset表示男人天堂网2021。

With the experimental data, operation time of contour extraction of binary image represented by rectangle NAM is 0.31 to 0.86 times of that of image represented by matrix, operation time of Euler number computing of binary rectangle NAM image is 0.11 to 0.63 times of that of the pattern algorithm, operation time of connected component labeling of binary image represented by rectangle NAM is 0.08 to 0.37 times of that of image represented by matrix, 0.05 to 0.12 times of that of image represented by quadtree.

實(shí)驗(yàn)數(shù)據(jù)表明，采用矩形NAM表示的二值圖像輪廓提取算法的執(zhí)行時(shí)間是矩陣表示的0.31至0.86禁18岁黄色视频在线观看；矩形NAM表示的歐拉數(shù)計(jì)算執(zhí)行時(shí)間是模板算法的0.11至0.63中文字幕一区二区观看；矩形NAM表示的連通區(qū)域標(biāo)記算法執(zhí)行時(shí)間是矩陣表示的0.08至0.37，四元樹表示的0.05至0.12欧美视频在线视频免费观看免费观看免费。

The present fugacious success do not guarantee constant(這里用constant是因?yàn)檫@兒所表示的永遠(yuǎn)并非我們通常所指,而是指人生在世的幾十年中持續(xù)不斷的成功) success in future, because there are so many factors that will prompt things to change, such as the development of technology, the revolution of telecom,etc.

眼前短暫的成功不能保證未來永遠(yuǎn)的成功在线免费视频91。

Supported by the National Science Foundation of China, this thesis concentrates on the image sparse representation theories, methods and the image processing applications based on sparse representation. We make deeply study for the applications based on multiscale geometry analysis, theories of overcomplete sparse image representation and its applications, theories of sparse image representation via combined transforms and its applications.

本文在國家自然科學(xué)基金項(xiàng)目&聯(lián)合基圖像稀疏表示理論研究及其應(yīng)用&的資助下，針對圖像稀疏表示理論91超碰永久地址、方法以及基于稀疏表示的圖像處理應(yīng)用問題黄色网站进口免费，重點(diǎn)圍繞多尺度幾何分析在圖像處理中的應(yīng)用、基于冗余字典的超完備圖像稀疏表示理論及應(yīng)用wwwcao、組合變換圖像稀疏表示理論及應(yīng)用等內(nèi)容進(jìn)行了探索性的研究日韩欧美国内自拍视频。

This representation method not only wides SRC Ontology's 8 topological relation representation method, and provides more explicit formalization representation for spatial relation ontology modeling, but also make the practical application possible.

該表示方法比SRC-Ontology 8種拓?fù)潢P(guān)系表示更適合點(diǎn)在免费jIzzjIzz在线视频网址、直線、面三類空間目標(biāo)表示的需要日本黄页网战，為空間拓?fù)潢P(guān)系建立本體模型提供了更加清晰明確的形式化表示基礎(chǔ)AV-级福利黑白配久久，同時(shí)使得實(shí)際應(yīng)用成為可能。

Curzon的Dictionary of Law定義為:A consensus of minds or evidence of such consensus in spoken or written form relating to anything done or to be done.

是對已做和待做的有關(guān)事宜以口頭或書面形式做出的相同意思表示或該意思表示的證據(jù)看片在线。

Curzon的Dictionary of Law定義為:A consensus of minds, or evidence of such consensus, in spoken or written form, relating to anything done or to be done.

是對已做和待做的有關(guān)事宜以口頭或書面形式做出的相同意思表示或該意思表示的證據(jù)黄片mmm播放。而在

Cupboard love：有所貪圖的愛; 因企圖得到某物所表示的親熱

be crossed in love 失戀 | cupboard love 有所貪圖的愛; 因企圖得到某物所表示的親熱 | make love to sb. 向某人求愛; 與某人發(fā)生性關(guān)系

degree of a representation：表示的級

表示的等價(jià)|equivalence of representations | 表示的級|degree of a representation | 表示的權(quán)|weight of representation

denormal：非正常表示的

denary 十進(jìn)制的 | denormal 非正常表示的 | denote 表示

denotative：指示的; 表示的 (形)

denotation 指示 (名) | denotative 指示的; 表示的 (形) | denote 指示; 表示 (動)

ancy,ency：表示"...的

refer-reference參考黄私密在线看av、參照 | -ancy, -ency表示"...的 | aero-: concerning the air or aircraft空氣的;飛機(jī)的人人摸人人干、航空的、飛行的

ancy,ency：表示"...的狀態(tài)办公室丝袜激情无码播放黄色工厂、...的性質(zhì)

refer-reference參考99r视频国产在线观看免费、參照 | -ancy, -ency表示"...的狀態(tài)、...的性質(zhì)" | emerge-emergency緊急情況

indicatory：指示的/表示的

indicator /指示器/跡象/指示符/ | indicatory /指示的/表示的/ | indicia /標(biāo)記/郵戳/

representable function：可表示的函數(shù)

representable 可表示的 | representable function 可表示的函數(shù) | representable functor 可表的函子

representable：可表示的

representability 可表示性 | representable 可表示的 | representable function 可表示的函數(shù)

significative：有意義的; 表示...的 (形)

signification 含義 (名) | significative 有意義的; 表示...的 (形) | signifier 示意的人或物; 示意的符號 (名)