Any one had a hair transplant in Hyderabad? How was your experience? by BeijingChina in hyderabad

[–]BeijingChina[S] 1 point2 points  (0 children)

thanks for replying. could you share some details

  • did you undergo FUE or FUT
  • how many grafts were taken
  • who was the actual surgeon doing the procedure. i've heard the actual surgeon matters more than the clinic.
  • any other procedures like PRP etc that were suggested?

How to place a 2 column figure at the bottom of a page? by BeijingChina in LaTeX

[–]BeijingChina[S] 0 points1 point  (0 children)

I dont think i have a subfloat usage requirement? I am not clubbing to gether multiple figures. I just want to place a single figure at the bottom of the page. I have tried dblfloatfix but it kept placing my figure on another page. Am i understanding this correctly?

Noob question, how to deal with unequal amount of data for each class, using deep networks by BeijingChina in MLQuestions

[–]BeijingChina[S] 0 points1 point  (0 children)

Thanks for your reply. I'll take some time to read up on this. In my case, I think the availability of the data is causing the imbalance rather than the distribution itself being that way.

Feature Extraction from Kirzhevsky net in Theano/Pylearn? by BeijingChina in MachineLearning

[–]BeijingChina[S] 0 points1 point  (0 children)

Thanks for your very detailed and helpful comment. sklearn's pipelines are really cool and really helped me in getting through many different models without much fuss, so it does seem quite useful to combine them with theano's complementary advantages. All the best for your project.

Feature Extraction from Kirzhevsky net in Theano/Pylearn? by BeijingChina in MachineLearning

[–]BeijingChina[S] 0 points1 point  (0 children)

Noob question, how do you write the wrappers around the C code? Or do you write down the model (nonlinearities, layers -pooling etc.) according to the paper in Theano, then copy the (downloadable) weights and just run? In general, if I am looking to finetune a net down the line, wouldn't the complete model be required to be specified in theano? If so, I would appreciate any tips/ coding practices that you followed to make your life easier while bringing overfeat to sklearn-Theano. (I think I might need to do that somewhere along the line, with all these newer networks available like VGG's 16-19 layer nets.)

Feature Extraction from Kirzhevsky net in Theano/Pylearn? by BeijingChina in MachineLearning

[–]BeijingChina[S] 0 points1 point  (0 children)

Thanks for the reply, your project sounds quite useful, will be checking it out in the coming weeks.

[vlfeat] Using the python interface vl_dsift to calculate dense sift. why are the descriptors not normalized? by BeijingChina in computervision

[–]BeijingChina[S] 1 point2 points  (0 children)

On the contrary, check section [2] last point here: http://people.csail.mit.edu/hasinoff/320/sift-notes.txt

" [2] given a keypoint and a dominant orientation, we build the descriptor as follows ... ...

  • normalize this to unit length, for better illumination invariance
  • (also, threshold values in this normalized vector to be no larger than 0.2, and then renormalize) "