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Description: gg...\\ CallSummaryAppUi.h
...........\\...\\CallSummaryDocument.h
...........\\...\\CallView.h
...........\\...\\DebugEntries.h
...........\\...\\DebugEntries.rh
...........\\...\\EngineObserver.h
...........\\...\\PhoneBookEngine.h
...........\\...\\TopTenContainer.h
...........\\...\\TopTenView.h -gg ... \\ CallSummaryAppUi.h ........ ... \\ ... \\ CallSummaryDocument.h ........... \\ ... \\ CallView.h ........... \\ ... \\ DebugEntr ies.h ........... \\ ... \\ DebugEntries.rh .... ....... \\ ... \\ EngineObserver.h ........... \\ ... \\ PhoneBookEngine.h ........... \\ ... \\ Top TenContainer.h ........... \\ ... \\ TopTenView . h
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Size: 16740 |
Author: ww |
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Description: cookies密码查看器的原文件
cookies密码查看器的原文件-cookies user to the original document cookies password viewer of the original document cook ies password viewer of the original document
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Size: 7005 |
Author: 111 |
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Description: 通过设计VC程序对简单的一维信号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。-through the design process to a simple one-dimensional signal with a Gaussian white noise after Daubech ies wavelet Morlet wavelet and Haar wavelet transform, and thus the wavelet coefficients; Decomposition again by changing the levels of high frequency coefficients of the wavelet reconstruction signal to eliminate noise purposes. In this program the process can intuitively understand wavelet decomposition process and the reconstruction of the Signal Noise Canceling the important role and the layers of high-frequency coefficients weight coefficient handling of the selection of signal denoising effects of.
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Size: 161420 |
Author: 牛牛 |
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Description: Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.-Learning Kernel Classifiers : Theory and Algorithms. Introduction This chapter introduces the gene the acidic problem of machine learning and how it relat es to statistical inference. 1.1 The Learning P roblem and (Statistical) It was only inference a few years after the introduction of the first c omputer that one of man's greatest dreams seeme d to be realizable-artificial intelligence. B earing in mind that in the early days the most pow erful computers had much less computational po wer than a cell phone today, it comes as no surprise that much theoretical're search on the potential of machines' capabilit ies to learn took place at this time. This become 's a computational problem as soon as the dataset gets larger than a few hundred examples.
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Size: 2537081 |
Author: google2000 |
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Description: 使用IE的IWebBrowser来建立自己的浏览器 -Using IEs IWebBrowser to setup up you own browse
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Size: 21504 |
Author: 站长 |
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Description: gg...\ CallSummaryAppUi.h
...........\...\CallSummaryDocument.h
...........\...\CallView.h
...........\...\DebugEntries.h
...........\...\DebugEntries.rh
...........\...\EngineObserver.h
...........\...\PhoneBookEngine.h
...........\...\TopTenContainer.h
...........\...\TopTenView.h -gg ... \ CallSummaryAppUi.h ........ ... \ ... \ CallSummaryDocument.h ........... \ ... \ CallView.h ........... \ ... \ DebugEntr ies.h ........... \ ... \ DebugEntries.rh .... ....... \ ... \ EngineObserver.h ........... \ ... \ PhoneBookEngine.h ........... \ ... \ Top TenContainer.h ........... \ ... \ TopTenView . h
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Size: 16384 |
Author: ww |
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Description: cookies密码查看器的原文件
cookies密码查看器的原文件-cookies user to the original document cookies password viewer of the original document cook ies password viewer of the original document
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Size: 7168 |
Author: 111 |
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Description: 通过设计VC程序对简单的一维信号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。-through the design process to a simple one-dimensional signal with a Gaussian white noise after Daubech ies wavelet Morlet wavelet and Haar wavelet transform, and thus the wavelet coefficients; Decomposition again by changing the levels of high frequency coefficients of the wavelet reconstruction signal to eliminate noise purposes. In this program the process can intuitively understand wavelet decomposition process and the reconstruction of the Signal Noise Canceling the important role and the layers of high-frequency coefficients weight coefficient handling of the selection of signal denoising effects of.
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Size: 160768 |
Author: 牛牛 |
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Description: Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.-Learning Kernel Classifiers : Theory and Algorithms. Introduction This chapter introduces the gene the acidic problem of machine learning and how it relat es to statistical inference. 1.1 The Learning P roblem and (Statistical) It was only inference a few years after the introduction of the first c omputer that one of man's greatest dreams seeme d to be realizable-artificial intelligence. B earing in mind that in the early days the most pow erful computers had much less computational po wer than a cell phone today, it comes as no surprise that much theoretical're search on the potential of machines' capabilit ies to learn took place at this time. This become 's a computational problem as soon as the dataset gets larger than a few hundred examples.
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Size: 2536448 |
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Description: 通过修改注册表，修改IE安全属性：安全级别、ActiveX下载限制-By modifying the registry, modify IE security attributes: security level, ActiveX download limit
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Size: 21504 |
Author: liguangchao |
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Description: MTSP 问题其实与单
旅行商问题(Traveling Salesperson Problem ,简称TSP) 相似,但是由于添加了任何城市只要被某一旅行商访问到即可这个附加条
件,因而增加了问题复杂度。在以前使用遗传算法(GA) 研究解决MTSP 问题时,通常采用标准的TSP 染色体和处理方法。-M any app licat ions are invo lved w ith mult ip le salesmen each of w hom visits a subgroup
cit ies and returns the same start ing city. The to tal length of all subtours is required to be m ini2
mum. Th is is calledM ult ip le T raveling Salesmen P roblem (M TSP). There are various heurist ic
methods to obtain op t imal o r near2op t imal so lut ions fo r the TSP p roblem. But to the M ult ip le
T raveling Salesmen P roblem , there are no t much app roaches to so lveM TSP. In th is paper, a hy2
brid genet ic algo rithm to so lve TSP and M TSP is p resented. Th is algo rithm combines GA and
heurist ics. N umerical experiments show that the new algo rithm is very efficient and effect ive.
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Size: 217088 |
Author: liqiubin |
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Description: 求解TSP和MTSP的混合遗传算法_英文_-Abstract:M any app licat ions are invo lved w ith mult ip le salesmen each of w hom visits a subgroup
cit ies and returns the same start ing city. The to tal length of all subtours is required to be m ini2
mum. Th is is calledM ult ip le T raveling Salesmen P roblem (M TSP). There are various heurist ic
methods to obtain op t imal o r near2op t imal so lut ions fo r the TSP p roblem. But to the M ult ip le
T raveling Salesmen P roblem , there are no t much app roaches to so lveM TSP. In th is paper, a hy2
brid genet ic algo rithm to so lve TSP and M TSP is p resented. Th is algo rithm combines GA and
heurist ics. N umerical experiments show that the new algo rithm is very efficient and effect ive.
Key words: TSP op t im izat ion genet ic algo rithm 2op t
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Size: 217088 |
Author: Notics |
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Description: This book briefly de scribes the 100 great est sci ence dis cov er ies of all time, the dis cov -
er ies that have had the great est im pact on the de vel op ment of hu man sci ence and think ing.
Let me be clear about ex actly what that means:
Greatest: “Of high est im por tance much higher in some qual ity or de gree of un der -
stand ing” (Web ster’s New Col lege Dic tio nary).
Science: Any of the spe cific branches of sci en tific knowl edge (phys i cal sci ences, earth
sci ences, and life sci ences) that de rive knowl edge from sys tem atic ob ser va tion, study,
and ex per i men ta tion.
Discov ery: The first time some thing is seen, found out about, re al ized, or known.
All time: The re corded (writ ten) his tory of hu man civ i li za tions.-This book briefly de scribes the 100 great est sci ence dis cov er ies of all time, the dis cov-
er ies that have had the great est im pact on the de vel op ment of hu man sci ence and think ing.
Let me be clear about ex actly what that means:
Greatest: “Of high est im por tance much higher in some qual ity or de gree of un der-
stand ing” (Web ster’s New Col lege Dic tio nary).
Science: Any of the spe cific branches of sci en tific knowl edge (phys i cal sci ences, earth
sci ences, and life sci ences) that de rive knowl edge from sys tem atic ob ser va tion, study,
and ex per i men ta tion.
Discov ery: The first time some thing is seen, found out about, re al ized, or known.
All time: The re corded (writ ten) his tory of hu man civ i li za tions.
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Size: 1440768 |
Author: Dinakara |
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Description: 阈值法是图像分割的一种重要方法, 在图像处理与识别中广为应用. 提出了一种基于灰度2梯度共生矩阵
模型和最大熵原理的自动阈值化方法. 该方法不仅利用了图像的灰度信息, 而且也利用了梯度信息, 通过计算基
于灰度2梯度共生矩阵的二维熵, 并使边缘区域的熵最大来选择阈值向量. 仿真结果显示, 该算法比其他二维熵方
法效果更佳.-Th resho lding is an impo rtant fo rm of image segmentat ion and is used in image p rocessing and recog2
nit ion fo rmany app licat ions. In th is paper, an automat ic app roach fo r th resho lding based on gray2level gradient co2
occurrence mat rix model and the maximum ent ropy p rincip les is p ropo sed. Th ismethod ut ilizes the info rmat ion of
bo th gray level and gradient in an image. In th is app roach, the th resho ld vecto r is selected th rough evaluat ing two2
dimensional ent rop ies based on the gray2level gradient co2occurrence mat rix and maxim izing the edge region en2
t rop ies. It is found that the p ropo sed app roach perfo rm s bet ter than o ther 2D ent ropy methods.
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Size: 174080 |
Author: 广隶 |
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Description: ies engineering paper
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Size: 168960 |
Author: raj prasad |
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Description: ies questions
electronics and communication engineering exam questions
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Size: 53248 |
Author: arjun |
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Description: These are IES Question papers
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Size: 4347904 |
Author: mistlhari |
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Description: 易语言解除网页限制源码例程程序结合易语言应用接口支持库，调用IES对象可解除网页、鼠标、键盘等限制。
-Easy language to remove the web page source code routine procedures combined with easy language interface support library, call the IES object can lift the web, mouse, keyboard and other restrictions.
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Size: 4096 |
Author: zhch29 |
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Description: cover conventional ies ece
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Size: 6771712 |
Author: bride
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Description: ies material ece covers as per the syllabus
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Author: bride
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