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    Hi Sarthak,<br>
    <br>
    Thank you for you note, but I already wrote:<br>
    <br>
    >    Don't wait for anybody with proposal. The new GSoC site is
    right place to discuss proposals.<br>
    <br>
    So I expected to see and comment, if needed, your proposal on this
    site. Let me remind you the site - <a class="moz-txt-link-freetext"
      href="https://summerofcode.withgoogle.com/">https://summerofcode.withgoogle.com/</a>
    <pre class="moz-signature" cols="72">Best regards,
    Dmitry</pre>
    <div class="moz-cite-prefix">25.03.2016 10:17, sarthak agarwal
      пишет:<br>
    </div>
    <blockquote
cite="mid:CAPwn9cwo-zNQ7YBp5c+ctg8gdP=5Akr5GW8vTVHd5sAm4TvAdw@mail.gmail.com"
      type="cite">
      <div dir="ltr">
        <div class="gmail_extra">The deadline is today.</div>
        <div class="gmail_extra"><br>
        </div>
        <div class="gmail_extra">Sarthak</div>
        <div class="gmail_extra"><br>
          <div class="gmail_quote">On Thu, Mar 24, 2016 at 1:52 AM,
            sarthak agarwal <span dir="ltr"><<a
                moz-do-not-send="true"
                href="mailto:sarthak0415@gmail.com" target="_blank"><a class="moz-txt-link-abbreviated" href="mailto:sarthak0415@gmail.com">sarthak0415@gmail.com</a></a>></span>
            wrote:<br>
            <blockquote class="gmail_quote" style="margin:0 0 0
              .8ex;border-left:1px #ccc solid;padding-left:1ex">
              <div dir="ltr">
                <div>
                  <p style="margin:0px 0px 1.2em!important">Hello
                    Dmitry,</p>
                  <p style="margin:0px 0px 1.2em!important">I fixed the
                    bug (I guess).<br>
                    Now coming to my proposal for GSoC, So I was
                    thinking of working on project #4 <b>Auto-detection
                      of EPSG codes from incomplete WKT.</b></p>
                  <p style="margin:0px 0px 1.2em!important">What I
                    understood from the project is that we need to
                    predict the EPSG code of certain files on the basis
                    of some attributes which are available in the file.</p>
                  <p style="margin:0px 0px 1.2em!important">The
                    attributes can be extracted from the file for which
                    I read <a moz-do-not-send="true"
                      href="http://www.gdal.org/osr_tutorial.html#querying_coordinate_system"
                      target="_blank">this</a>.</p>
                  <p style="margin:0px 0px 1.2em!important">Now to solve
                    this problem I thought a lot of methods but I think
                    the best way to solve it will be using machine
                    learning.</p>
                  <p style="margin:0px 0px 1.2em!important">The way ML
                    will handle this problem is as follows-</p>
                  <ol style="margin:1.2em 0px;padding-left:2em">
                    <li style="margin:0.5em 0px">We need to find the
                      EPSG code for a file (testing data)</li>
                    <li style="margin:0.5em 0px">We have a file with
                      some attributes (projections,datum,etc ).</li>
                    <li style="margin:0.5em 0px">We need to the guess
                      the best suitable class for that file(EPSG)</li>
                    <li style="margin:0.5em 0px">Also, we have many
                      files for which we know the attributes and the
                      corresponding class (training data).</li>
                  </ol>
                  <p style="margin:0px 0px 1.2em!important">This problem
                    is now translated into an ML problem which can be
                    solved using the following models-</p>
                  <p style="margin:0px 0px 1.2em!important">1. <a
                      moz-do-not-send="true"
                      href="https://en.wikipedia.org/wiki/Posterior_probability"
                      target="_blank">Bayesian Stastics</a></p>
                  <div>
                    <blockquote style="margin:0 0 0
                      40px;border:none;padding:0px">
                      <div>where,</div>
                      <div>posteriror probability = probability of this
                        file have EPSG code 'a'.</div>
                      <div>prior probability = probability of occurence
                        of EPSG code 'a'.</div>
                    </blockquote>
                  </div>
                  <div>
                    <blockquote style="margin:0 0 0
                      40px;border:none;padding:0px">likelihood
                      probablity = cases where we saw such attributes
                      when the EPSG code is 'a'.<br>
                    </blockquote>
                    <div><br>
                    </div>
                    2. or we can use a simple knn where k is the number
                    of possible EPSG code and the dimension of the
                    feature vector is the number of possible attributes.
                    we need to the find a valid and promising weight
                    function).<br>
                  </div>
                  <p style="margin:0px 0px 1.2em!important"><br>
                  </p>
                  <p style="margin:0px 0px 1.2em!important">3. We can
                    use multi-class SVM.</p>
                  <p style="margin:0px 0px 1.2em!important">4. any other
                    suggestion from the community regarding the possible
                    choice of the algo.</p>
                  <p style="margin:0px 0px 1.2em!important">I am
                    thinking of actually implementing all these algo(may
                    add algo in future depending upon the suggestion)
                    and select the algo which gives the best performance
                    among all of them.</p>
                  <p style="margin:0px 0px 1.2em!important">Please
                    provide me feedback on my proposal and suggestion if
                    I can add/change anything.<br>
                    And since very less time is left in the deadline, I
                    would like to convert it into proposal ASAP with
                    your help.</p>
                  <p style="margin:0px 0px 1.2em!important">Regards,<br>
                    Sarthak</p>
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