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FreeOCR . net is a list of totally free OCR (Optical character recognition) software ... Tesseract The Tesseract free OCR engine is an open source product released ... where sub-swarm S1 evaluates individuals on the basis of objective f1 (x), and subswarm S2 uses objective f2 (x) The MOPSO algorithm developed by Coello Coello and Lechuga is one of the rst PSObased MOO algorithms that extensively uses an archive [147, 148] This algorithm is based n the Pareto archive ES (refer to Section 1262), where the objective function space is separated into a number of hypercubes A truncated archive is used to store non-dominated solutions During each iteration, if the archive is not yet full, a new particle position is added to the archive if the particle represents a non-dominated solution However, because of the size limit of the archive, priority is given to new non-dominated solutions located in less populated areas, thereby ensuring that diversity is maintained In the case that members of the archive have to be deleted, those members in densely populated areas have the highest probability of deletion Deletion of particles is done during the process of separating the objective function space into hypercubes Densely populated hypercubes are truncated if the archive exceeds its size limit After each iteration, the number of members of the archive can be reduced further by eliminating from the archive all those solutions that are now dominated by another archive member For each particle, a global guide is selected to guide the particle toward less dense areas of the Pareto front To select a guide, a hypercube is rst selected Each hypercube is assigned a selective tness value, fsel (Hh ) = fdel (Hh ) (1695). UCC - 13 Generator In .NET Using Barcode generator for .NET .Related: aspose ocr for net example: VintaSoft OCR . NET Plug-in | . NET OCR SDK | Text Recognition in ... tesseract ocr wpfC# .NET Optical Character Recognition OCR API - Aspose
NET APIs to Perform OCR on Images. Add image based Optical Character Recognition feature within any .NET-based application. Download Free Trial ... tesseract ocr wpf Aquaforest OCR SDK v2.10.51008.0 - irDevelopers
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Apr 10, 2013 · Aspose.OCR for .NET is a character recognition component built to allow developers to add OCR functionality in their ASP .NET web ... speci ed by the VC-dimension [152, 732] Cohn and Tesauro [152] show that for experiments conducted, the generalization error decreases exponentially with the number of examples, rather than the 1/PT result of the VC bound Experimental results by Lange and M nner [502] show that more training examples do not necessarily improve a generalization In their paper, Lange and M nner introduce the notion of a critical a training set size Through experimentation they found that examples beyond this critical size do not improve generalization, illustrating that excess patterns have no real gain This critical training set size is problem dependent While enough information is crucial to e ective learning, too large training set sizes may be of disadvantage to generalization performance and training time [503, 948] Redundant training examples may be from uninteresting parts of input space, and do not serve to re ne learned weights it only introduces unnecessary computations, thus increasing training time Furthermore, redundant examples might not be equally distributed, thereby biasing the learner The ideal, then, is to implement structures to make optimal use of available training data That is, to select only informative examples for training, or to present examples in a way to maximize the decrease in training and generalization error To this extent, active learning algorithms have been developed Cohn et al [151] de ne active learning (also referred to in the literature as example selection, sequential learning, query-based learning) as any form of learning in which the learning algorithm has some ontrol over what part of the input space it receives information from An active learning strategy allows the learner to dynamically select training examples, during training, from a candidate training set as received from the teacher (supervisor) The learner capitalizes on current attained knowledge to select examples from the candidate training set that are most likely to solve the problem, or that will lead to a maximum decrease in error Rather than passively accepting training examples from the teacher, the network is allowed to use its current knowledge about the problem to have some deterministic control over which training examples to accept, and to guide the search for informative patterns By adding this functionality to a NN, the network changes from a passive learner to an active learner Figure 77 illustrates the di erence between active learning and passive learning With careful dynamic selection of training examples, shorter training times and better generalization may be obtained Provided that the added complexity of the example selection method does not exceed the reduction in training computations (due to a reduction in the number of training patterns), training time will be reduced [399, 822, 948] Generalization can potentially be improved, provided that selected examples contain enough information to learn the task Cohn [153] and Cohn et al [151] show through average case analysis that the expected generalization performance of active learning is signi cantly better than passive learning Seung et al [777], Sung and Niyogi [822] and Zhang [948] report similar improvements Results presented by Seung et al indicate that generalization error decreases more rapidly for active learning than for passive learning [777] Two main approaches to active learning can be identi ed, ie incremental learning. complete barcode automation solutions for Business Application, Enterprise Developement Project, and mobile applications, including Barcode Library, Barcode SDK .Related: Create Barcode RDLC Library, ASP.NET Barcode Generating , Barcode Generating Word how to : Generate & display linear & 2D barcode in multiple applications using arcode Fonts. 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Switch to the "Add-Ins" tab and click "Create Barcode" to open .Related: Make Barcode Word , .NET Winforms Barcode Generation , Barcode Generator Word how to Much of this chapter is based on the discussion in [4] A description of the RSA algorithm, with proof of correctness, is presented in [ I ] , which also devotes a chapter to dynamic programming The RSA algorithm is patented nd its commercial use requires payment of a licensing fee However, an implementation of RSA, namely, PGP (pretty good privacy), is widely available, and free noncommercial use is allowed See [3] for more details The shape-drawing examples are adapted from [2] I T H Cormen, C E Leiserson, and R L Rivest, Introduction to Algorithms, MIT Press, Cambridge, Mass, 1990 2 R Sedgewick, Algorithms in C++, Addison-Wesley, Reading, Mass, 1992 3 W Stallings, Protect Your Privacj: A Guide for PGP Users, Prentice-Hall, Englewood Cliffs, NJ, 1995 4 M A Weiss, E@cient C Programming: A Practical Approach, Prentice-Hall, Englewood Cliffs, NJ, 1995. 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