Shape Recognition.

Cerrado Publicado hace 5 años Pagado a la entrega
Cerrado Pagado a la entrega

paper [login to view URL]~hermi/[login to view URL]

we have 500 images, we made a classification with transform of fourier + parametres of forms

now we want to add what you will do and redo the classification

and i have a file ppt show the result we must found it

what's already done is:

calculate the fourier transform of the iamges + the parameters of forms (7 parameteres) + divide the images into two subsets and make PCA and a bayesian classification and in the end one must find a percentage of months 90% an image must be in the beginning subassembly

all you are going to do is:

just add this method and instead of having 14 parameters (7 of fourier and 7 of shape parameters) you will have 17 or 18 it depends how much you will take laplacien and recalculate the PCA (Principal component analysis) and the Bayesian classification

Algoritmos Ingeniería eléctrica Machine Learning (ML) Matemáticas Mathlab y Mathematica

Nº del proyecto: #18191713

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6 propuestas Proyecto remoto Activo hace 5 años

6 freelancers están ofertando un promedio de $201 por este trabajo

uzairrzahid

Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machin Más

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saied2017

Hello I'm Mohamed Saeed. MATLAB expert with high experience. I have checked your job description and I'm ready to help you. thanks

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samuelpole

Dear, hirring sir. Nice to meet you. I am a Python Developer with over 4 years of experience and 5 years undergraduate degree in software engineering. I have skills about machine learning and deep learning by python. Más

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junaidmuthukadan

I have done similar kind of work in SAMSUNG for content classification ,used similar kind of methods like Principle component analysis.

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Shahbaz12336

I am an electrical engineer i'll be suitable for this purpose.

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