I have only one comment as of now:
On Tue, Nov 26, 2013 at 9:02 PM, Abhi wrote:
> >.Please go through a paper "Ensemble of Exemplar-SVMs for Object Detection
> and Beyond" by Tomasz Malisiewicz (ICCV 2011)
> Thanks, will go through the paper.
>
> >During testing, a special calibration technique
> I am not sure about your question, if the question is:
> "what is the best classifier for a particular data set"
> the answer (well what I usually do) is to choose a performance metric
(confusion matrix, precision vs
> recall, average accuracy)
> and do a parameter search to find the best algor
>.Please go through a paper "Ensemble of Exemplar-SVMs for Object Detection
and Beyond" by Tomasz Malisiewicz (ICCV 2011)
Thanks, will go through the paper.
>During testing, a special calibration techniques used to choose the best
output. On terms of calibration, differently sized templates will
Actually, in mainstream computer vision, some efforts are going on to
compare
the different outputs in form of (calibrated)probabilties from different
classifiers.
Please go through a paper "Ensemble of Exemplar-SVMs for Object Detection
and Beyond" by Tomasz Malisiewicz (ICCV 2011)
For. Ex. In E
Dear Paolo,
> If that is your question I can share my code.
> :-)
Sorry if I'm hijacking this tread but, if it is public, I would like to
have a look at your code.
Thanks a lot.
Cheers,
Eraldo
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Shape the Mobile Expe
I believe this message is from Abhi too - regarding the same question:
How can we combine probabilities from multiple classifiers in sklearn?
> [Classifiers are trained on similar type datasets, difference being their
> sizes and the way each result might be used]. I am using SGDClassifier to
> tr
2013/11/26 Abhi :
> How can we normalize and compare probabilities from different classifier
> models in scikit?
Why do you want to do that?
To be more specific, how do you quantify success of your task?
By definition, probabilities are "normalized" in the sense that the
are guaranteed to live i
rithm.
If that is your question I can share my code.
:-)
From: Abhi [[email protected]]
Sent: 26 November 2013 09:01
To: [email protected]
Subject: [Scikit-learn-general] Comparing probabilities
How can we normalize a
How can we normalize and compare probabilities from different classifier
models in scikit?
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