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Sep 12, 2014 · The implementation is far less straight-forward. Prior to Office 2010, Microsoft Office Document Imaging (MODI) was available for OCR.
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Apr 24, 2017 · Utilizando componente de OCR para reconhecimento de caracteres em imagens ...Duration: 8:50
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A simple example of testing Tesseract OCR in C#: .... Tesseract OCR 3.02.02 API
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Objective The objective is to minimize the total cost of the dispatch. The total cost includes fuel costs, start-up costs, shutdown costs, and VOM charges. The decision variables available for attaining this objective are the energy production of each unit by hour. Constraints 1. The total power output must match the load forecast. 2. Each unit either provides no output or provides output bounded by minimum and maximum MW values. 3. Each unit has a maximum ramp-up rate. 4. Each unit has a maximum ramp-down rate. 5. Once a unit is down, the unit has a minimum turnaround time. 6. Once a unit is on line, the unit has a minimum on time. 7. Units accrue a start-up cost for each start-up and a shutdown cost for each shutdown. 8. The hydro facility has a maximum total energy availability.
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52 SAMPLING FROM THE POSTERIOR To perform the integration in (57) with owgraph models, we require a method that can be programmed as a routine application to a general posterior distribution If the form of the posterior distribution is well known, we can sample directly from it using statistical software Sometimes, the posterior can be factored into a known conditional posterior and a known marginal posterior With complicated owgraphs, the posterior is often not of a recognizable form There are many methods for sampling from the posterior distribution, and some methods are better suited than others for speci c problems These methods include rejection sampling, importance sampling, Gibbs sampling, the Metropolis Hastings algorithm, and other Markov chain Monte Carlo methods Laplace s method can sometimes be used to estimate posterior distributions We discuss these methods brie y as they pertain to owgraphs Gelman et al.
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(a) Psychologists provide a prompt opportunity for participants to obtain appropriate information about the nature, results, and conclusions of the research, and they take reasonable steps to correct any misconceptions that participants may have of which the psychologists are aware. (b) If scientific or humane values justify delaying or withholding this information, psychologists take reasonable measures to reduce the risk of harm.
(1995) provide an excellent introduction to these methods For a rudimentary introduction to importance sampling and resampling, see Smith and Gelfand (1992); to Monte Carlo methods, see MacKay (1998); to Gibbs sampling, see Casella and George (1992); and to the Metropolis Hastings algorithm, see Chib and Greenberg (1995) 521 Rejection Sampling The simplest posterior sampling method is rejection sampling We can apply this technique to sample from ( |D) using its unnormalized form, L( |D) ( ) The density that we wish to sample from is called the target density In rejection sampling, the target density is approximated by an envelope function This probability density function, denoted by g( ), is known and easily sampled Generally, g( ) is chosen to be roughly proportional to L( |D) ( ) Assume that the support of the prior is bounded.
substrate and alters their electrical properties affecting the functionality of the transistors. 2. In order to meet the above challenge alone, an entirely new fabrication process is required for implementation of copper interconnects. 3. Fabrication of copper interconnects requires the production and use of a large amount of ultrapure water, which is rather expensive. 4. The release of waste discharges containing copper to the environment must be handled very carefully. 1.2.3 Fabrication Processes for Copper Interconnects
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