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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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