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**SIGNATURE 1** **SIGNATURE 2**
How do I compare both signatures, I've tried Harris Corner detection but the results weren't satisfactory. I'm new to image-processing, please guide me.
The oldest Machine Learning technique is from Bromley et. al. in 1993: https://dl.acm.org/doi/10.5555/2987189.2987282
you could try and reproduce this.
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I have been using the Simple Blob Detection algorithm from the OpenCV library (for Python) for a research project. I would like to reference this particular method algorithm in my paper.
Does anyone know from where this method is from and indicate me a good to reference to cite? The openCV source code does not refer to any particular literature.
Thanks
It uses the Connected-component labeling algorithm.
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I've recently been making many types of maps and graphs using Python.
All of the maps were made inside of matplotlib with Basemap, which has the dependencies of GEOS and Proj4. I'm making these for a professor that I'm working for at my university.
I am not entirely sure of the proper way to give credit to the software that was used to generate these in case any of the graphics I've been making get put into a publication.
What is the appropriate way to cite software?
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I am looking for an implementation of Continuous Wavelet Transform for Python that includes Haar Wavelet.
I would like to reproduce the experiment given by MathWorks for Matlab, at this link.
I tried with Pyscellania but I obtain completely different coefficients.
Is there a Python implementation of the CWT out there that includes the Haar Wavalet apart from Pyscellania?
Your request is clear.
Have you tried Pyscellania's normalised or standard Haar Wavelet?
Maybe you are just using the wrong one.
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I know that scikit-learn has an implementation for Restricted Boltzmann Machines, but does it have an implementation for Deep Belief Networks?
It does not, but it appears that the nolearn module does.
https://pypi.python.org/pypi/nolearn
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How can i generate all possible polynomials for coefficients of 1..10 and a degree of 10 ?
preferably in Python or ruby .
I have found PythonPoly module , but still dont understand how to make it .
Thanks .
Seems like you want somebody to do your homework for you .
But here you go ...
my_polynomials = itertools.product(range(1, 11), repeat=10)
Then :
for p in my_polynomials:
do_something_with_polynomial(p)
This is a Ruby versioin
my_polynomials = (1..10).to_a.repeated_combination(10)
To print the first 50:
my_polynomials.take(50).each{|mp| p mp}