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    Hi Sarthak,<br>
    <br>
    Thanks for submitting your proposal. Proposals are frozen at this
    point. <br>
    Right now we're completing ranking and waiting for Google to assign
    slots. <br>
    <br>
    <pre class="moz-signature" cols="72">Best regards,
    Dmitry</pre>
    <div class="moz-cite-prefix">06.04.2016 14:49, sarthak agarwal
      пишет:<br>
    </div>
    <blockquote
cite="mid:CAPwn9cy_Ev=XSockrBkpXyrfKQmqS9eWMeTfya922KbGzpFX8A@mail.gmail.com"
      type="cite">
      <div dir="ltr">
        <div>Hello Dmitry,</div>
        <div><br>
        </div>
        <div>As you know I did submit the proposal on the GSoC portal
          but there has been no discussion of any kind. </div>
        <div>I also completed my GSoC task(fixed the bug) on time.</div>
        <div><br>
        </div>
        <div>So I request you to kindly review my proposal once and
          provide your feedback. I will make the necessary changes or if
          you want to change the idea and implementation we can work on
          that also.</div>
        <div>I am really interested in applying for the program and
          contibuting to gdal.<br>
        </div>
        <div><br>
        </div>
        <div>Regards,</div>
        <div>Sarthak</div>
        <div class="gmail_extra"><br>
          <div class="gmail_quote">On Sat, Mar 26, 2016 at 12:13 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:0px 0px 0px
0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
              <div dir="ltr">I have submitted the proposal, please check
                it once and provide your feedback.<span><font
                    color="#888888">
                    <div><br>
                    </div>
                    <div>Sarthak</div>
                  </font></span></div>
              <div>
                <div>
                  <div class="gmail_extra"><br>
                    <div class="gmail_quote">On Fri, Mar 25, 2016 at
                      2:01 PM, Dmitry Baryshnikov <span dir="ltr"><<a
                          moz-do-not-send="true"
                          href="mailto:bishop.dev@gmail.com"
                          target="_blank"><a class="moz-txt-link-abbreviated" href="mailto:bishop.dev@gmail.com">bishop.dev@gmail.com</a></a>></span>
                      wrote:<br>
                      <blockquote class="gmail_quote" style="margin:0px
                        0px 0px
0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
                        <div text="#000000" bgcolor="#FFFFFF"><span> Hi
                            Sarthak,<br>
                            <br>
                            Thank you for you note, but I already wrote:<br>
                            <br>
                          </span><span> >    Don't wait for anybody
                            with proposal. The new GSoC site is right
                            place to discuss proposals.<br>
                            <br>
                          </span><span> So I expected to see and
                            comment, if needed, your proposal on this
                            site. Let me remind you the site - <a
                              moz-do-not-send="true"
                              href="https://summerofcode.withgoogle.com/"
                              target="_blank"><a class="moz-txt-link-freetext" href="https://summerofcode.withgoogle.com/">https://summerofcode.withgoogle.com/</a></a>
                            <pre cols="72">Best regards,
    Dmitry</pre>
                            <div>25.03.2016 10:17, sarthak agarwal
                              пишет:<br>
                            </div>
                          </span>
                          <blockquote type="cite">
                            <div dir="ltr">
                              <div class="gmail_extra">The deadline is
                                today.</div>
                              <div>
                                <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:0px 0px 0px
0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style: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:0px 0px
                                                0px
                                                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:0px 0px
                                                0px
                                                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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