Question about CRF model about crfsuite

[usptact]

If you can extract a "sequence" from your image, and expect sequence labels + one global label, I suggest you to look at TriCRF instead.
https://github.com/minwoo/TriCRF

The implemented model by TriCRF is:

       y
  /    |   \
h  -   h  -  h
|      |     |
x      x     x

The sequence labels as well as the global image label must be discrete.

[TompsonL]

Thanks for your response. Looks the h nodes in TriCRF are in a chain, Can I use a full connected ?

[usptact]

@TompsonL In principle yes, in practice inference in such graphs would be ahem difficult. Even this triangular chain CRF is fairly expensive (the way it is implemented). Unfortunately I am not familiar well enough with graphical models to suggest or make bigger claims.

[usptact]

@TompsonL I would try out a neural architecture - sequence model as for NER for "h" and classification on top of that for "y".

[TompsonL]

Thanks for your effort.

…

On Wed, Aug 2, 2017 at 1:08 PM, Vladislavs Dovgalecs < ***@***.***> wrote: @TompsonL <https://github.com/tompsonl> I would try out a neural architecture - sequence model as for NER for "h" and classification on top of that for "y". — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#87 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AdJ8GJ_yLMltBGAELEObwCAzThRRNDKOks5sUARSgaJpZM4Ono8S> .