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potential local invasions by bigs Set in have and have-not columns, one begins to get the big picture locally Existing migratory hopping patterns of local populations foretell changes in patterns likely to be caused by lower prices and availability offered mostly through being big Thus a small company s present value (attached quite tightly to long-term survival) can be highly dependent upon the high or low prospect of being invaded by future competition Local and regional outlooks are broadcast on local TV and are usually followed up with the national news Locally tuned suspicion can often be t into the regional and national perspective by just one or several one-hour TV news sessions A call to a local or regional business-news reporter can greatly enhance the bigger picture for your small company locally Newspapers keep reported stories of current or forecasted business events and trends on micro che or in computers And, of course, you can once again ask your accountant or banker for his or her views and outlooks You might be surprised at how professionals collect and analyze economic data being brought to bear on local environments Local professionals have not entirely escaped the effects of the bigs themselves National economic trends can forecast regional and local economies in advance For example, national increases in interest rates forecast reduced sales of homes on a local level The current national automobile market is ooded with excess inventory and suggests a good time to deal for a new or used car locally A national shortage of widget A says buy now because new inventories are likely to be priced higher The economy is blamed for all sorts of things that might rightly have been our fault The weight that economic in uences put on smallbusiness values (and formulas) is hard to measure until they translate into higher interest rates paid on the monies borrowed to operate or purchase small businesses But with some degree of indicator application, we can see the red ags in their clouds hanging over the nation, the region, and locally There will never be the perfect economic time to buy or sell a small company, but there may be a perfect time not to buy or sell.

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C# (CSharp) Emgu.CV.OCR Tesseract.Recognize Examples. Programming Language: C# (CSharp) Namespace/Package Name: Emgu.CV.OCR. Class/Type: Tesseract. Method/Function: Recognize. Examples at hotexamples.com: 10.

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Aquaforest OCR SDK enables developers to build C# OCR or VB OCR applications. Find out more about the Aquaforest OCR Library API and sample OCR  ...

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Jan 2, 2016 · Introduction. Optical character recognition (OCR) is a process for extracting textual data from an image. Apart from that, it finds it's applicability ...

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How to use Tesseract OCR 4.0 with C#. Contribute to doxakis/How-to-use-​tesseract-ocr-4.0-with-csharp development by creating an account on GitHub.

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logarithmic factors) of the trajectories Indeed, FBM is a good candidate for modeling phenomena which, using a statistical processing, are found to have C H trajectories and are supposed, for theoretical reasons, to be self-similar The importance of the identi cation of H, starting from the samples of the phenomenon necessarily taken in discrete time, is thus crucial At the same time, it is necessary to remember that FBMs are processes with stationary increments, which simpli es the spectral study of the process but is too restrictive for certain applications Indeed, in many elds (when we want to simulate textures in an image), it is expected, a priori, that order H depends on the point at which the process is observed For example, if, using a random eld, we want to model the aerial photographing of a forest, we would like to have a model where the parameter of self-similarity around the point x, noted by h(x), depends on the geological nature of the ground in the vicinity of x However, a spatial modulation of the eld law is generally incompatible with the property of self-similarity, which is the overall property Consequently, the problem consists of arriving at a concept of a suf ciently exible, locally self-similar eld, so that the parameters which de ne the eld law could vary with the position, yet be simple enough to enable the identi cation of these parameters Unfortunately, the simple approach, which consists of reproducing H by a function h(x) in the formula giving the covariance of a FBM, is not satisfactory: generally, we can show that there does not exist any Gaussian eld having this generalized covariance We will thus have to introduce the mathematical tools which will make it possible to build models generalizing FBMs and also to identify the functional parameters of these models These theoretical recaps will be dealt with in section 62, where we will consider each time the relevance of the concept introduced for an example of fractional Brownian motion In this context, we discuss traditional techniques for the study of Gaussian elds and also the tools of analysis in wavelets Using this theoretical framework, in section 63 we will formally de ne the property of local self-similarity and present two examples which form the base of all the later models Having established that these models are not suf ciently general for the applications, we will penetrate into the multifractional world in section 64 In each preceding model, speci c attention will be given to the regularity of the trajectories and, in section 65, we shall develop the statistical methods which make it possible o estimate this regularity This is what we call model identi ability At this point, it is necessary to clarify that the term elds is used for families 1 In applications, the most of random variables indexed by groups of d for d interesting cases correspond to d > 1 (for example, d = 2, for the images) However, certain statements, particularly those concerning identi cation, will relate only to processes (ie, elds where we have d = 1).

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Reporting bugs is an extremely valuable contribution, but fixing them is even more valuable If you have Eclipse plug-in development skills, please consider helping to fix WTP You are probably most motivated to fix bugs that affect your personal use of WTP, but if you are looking for areas to work on, simply query Bugzilla and look for unassigned bugs You can also search Bugzilla for the special keyword helpwanted, which indicates that the development team is especially looking for help on some bugs There is also a Help Wanted page on the WTP Web site As you work on bugs you ll communicate with the other WTP team members using one of the WTP developer mailing lists The general developer mailing list s.

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There are also specialized mailing lists for the subprojects To get started with WTP plug-in development, try the tutorial Developing the WTP with Eclipse [Hutchinson2005], which is available on the WTP Web site You can contribute both fixes and JUnit tests Like most Open Source projects, WTP practices automated testing Whenever a bug is found, it is highly desirable to create a JUnit test that recreates the problem This test is then added to the test suite that is run whenever WTP is built Having the test case in the test suite guards against uture regressions JUnit tests are also highly desirable for enhancements When you contribute an enhancement, include some JUnit tests that verify its correct operation This protects the enhancements against future breakage Both fixes and JUnit tests must be contributed through Bugzilla Use Eclipse to package your code contribution as a patch and attach it to the bug report A committer will then assess your contribution and commit it to the code base Contributing your code through Bugzilla is very important since all code that goes into any Open Source project must be carefully accounted for One of the goals of WTP is to provide a platform for commercial products, so the authorship of all code that comprises it must be recorded.

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Provides optical character recognition (OCR) API for reading text from images.

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The C# OCR Library | Iron Ocr - Iron Software
IronOCR is unique in its ability to automatically detect and read text from imperfectly scanned images and PDF documents. The AutoOCR Class provides the ...

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