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There are mainly three things to do with the library: decode a qr-code directly from camera (i.e, the phone's front/back camera, your webcam or whatever), from a ...

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Write a QR Code Reader in Java using Zxing | CalliCoder
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classifies the instance as positive This condition will be met if and only if the instance satisfies every member of S (why ) The reason is that every other hypothesis in the version space is at least as general as some member of S By our definition of more-general~han, the new instance satisfies all members of S it if must also satisfy each of these more general hypotheses Similarly, instance B is classified as a negative instance by every hypothesis in the version space This instance can therefore be safely classified as negative, given the partially learned concept An efficient test for this condition is that the instance satisfies none of the members of G (why ) Instance C presents a different situation Half of the version space hypotheses classify it as positive and half classify it as negative Thus, the learner cannot classify this example with confidence until further training examples are available Notice that instance C is the same instance presented in the previous section as an optimal experimental query for the learner This is to be expected, because those instances whose classification is most ambiguous are precisely the instances whose true classification would provide the most new information for refining the version space Finally, instance D is classified as positive by two of the version space hypotheses and negative by the other four hypotheses In this case we have less confidence in the classification than in the unambiguous cases of instances A and B Still, the vote is in favor of a negative classification, and one approach we could take would be to output the majority vote, perhaps with a confidence rating indicating how close the vote was As we will discuss in 6, if we assume that all hypotheses in H are equally probable a priori, then such a vote provides the most probable classification of this new instance Furthermore, the proportion of hypotheses voting positive can be interpreted as the probability that this instance is positive given the training data.

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Write a QR Code Reader in Java using Zxing | CalliCoder
Jun 20, 2017 · Learn how to read QR code images in Java using google's zxing library.

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