[gdal-dev] GSOC 2016

[Dmitry Baryshnikov]

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 
> <sarthak0415 at gmail.com <mailto:sarthak0415 at 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.dev at gmail.com <mailto:bishop.dev at 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
>>         <sarthak0415 at gmail.com <mailto:sarthak0415 at 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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