Hi Sarthak,
Thanks for submitting your proposal. Proposals are frozen at this point.
Right now we're completing ranking and waiting for Google to assign slots.
Best regards,
Dmitry
06.04.2016 14:49, sarthak agarwal пишет:
Hello Dmitry,
As you know I did submit the proposal on the GSoC portal but there has
been no discussion of any kind.
I also completed my GSoC task(fixed the bug) on time.
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.
I am really interested in applying for the program and contibuting to
gdal.
Regards,
Sarthak
On Sat, Mar 26, 2016 at 12:13 AM, sarthak agarwal
<sarthak0...@gmail.com <mailto:sarthak0...@gmail.com>> wrote:
I have submitted the proposal, please check it once and provide
your feedback.
Sarthak
On Fri, Mar 25, 2016 at 2:01 PM, Dmitry Baryshnikov
<bishop....@gmail.com <mailto:bishop....@gmail.com>> wrote:
Hi Sarthak,
Thank you for you note, but I already wrote:
> Don't wait for anybody with proposal. The new GSoC site
is right place to discuss proposals.
So I expected to see and comment, if needed, your proposal on
this site. Let me remind you the site -
https://summerofcode.withgoogle.com/
Best regards,
Dmitry
25.03.2016 10:17, sarthak agarwal пишет:
The deadline is today.
Sarthak
On Thu, Mar 24, 2016 at 1:52 AM, sarthak agarwal
<sarthak0...@gmail.com <mailto:sarthak0...@gmail.com>> wrote:
Hello Dmitry,
I fixed the bug (I guess).
Now coming to my proposal for GSoC, So I was thinking of
working on project #4 *Auto-detection of EPSG codes from
incomplete WKT.*
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.
The attributes can be extracted from the file for which I
read this
<http://www.gdal.org/osr_tutorial.html#querying_coordinate_system>.
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.
The way ML will handle this problem is as follows-
1. We need to find the EPSG code for a file (testing data)
2. We have a file with some attributes
(projections,datum,etc ).
3. We need to the guess the best suitable class for that
file(EPSG)
4. Also, we have many files for which we know the
attributes and the corresponding class (training data).
This problem is now translated into an ML problem which
can be solved using the following models-
1. Bayesian Stastics
<https://en.wikipedia.org/wiki/Posterior_probability>
where,
posteriror probability = probability of this file
have EPSG code 'a'.
prior probability = probability of occurence of EPSG
code 'a'.
likelihood probablity = cases where we saw such
attributes when the EPSG code is 'a'.
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).
3. We can use multi-class SVM.
4. any other suggestion from the community regarding the
possible choice of the algo.
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.
Please provide me feedback on my proposal and suggestion
if I can add/change anything.
And since very less time is left in the deadline, I would
like to convert it into proposal ASAP with your help.
Regards,
Sarthak
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